Zoox Careers

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager with Software Systems Engineering, you will work cross-functionally with engineering leaders across software, systems and design engineering, product and turn-key external vendors to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to derive and interpret software process requirements, develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

Responsibilities

• Understand, plan and track development and implementation of software safety engineering practices, to meet industry standards throughout Zoox’s software organization.
• Work with department leaders to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables
• Create and deliver technical presentations that explain program initiatives to downstream consumer teams
• Confer with engineers and consumer teams to assess systems needs and requirements
• Demonstrate, test, and deploy engineering product initiatives
• Analyze, determine and provide information needed for the development of software products to all relative stakeholders
• Collaborate with cross-functional leaders and Finance team in order to define and track resource requirements (headcount and budget)
• Work with Infrastructure teams to define and drive building of necessary tooling and developer infrastructure to enable software teams
• Ensure every team understands what they need to deliver at all times
• Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments
• Set the agenda for key decisions to be made at each meeting to eliminate bottlenecks and retire risks

• BS or MS degree in computer science, robotics engineering or equivalent job experience
• Has 3+ years experience in a software development role
• 2+ years of experience as an engineering lead, program manager, or management consultant
• Deep familiarity with software, systems engineering or automotive development processes
• Strong track record of managing complex cross-functional projects
• Strong references that highlight your ability to build strong working relationships with senior leaders and engineers across functions and departments
• An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience

• Experience working with standards such as ISO26262, ARP4754, ARP4761, DO-178, IEC 61508, MIL-882
• Bigger bonus for experience working with Part-6 of ISO26262
• Good understanding of autonomous driving / mobile robots software architecture
• Experience working with teams developing embedded software in the automotive or aerospace industry
• Strong understanding of the V-model of systems engineering for software development
• Have experience authoring software requirements, developing software architectures or software validation strategies for electro mechanical systems

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $146,000 to $210,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Our group’s mission is to work with teams across Zoox to analyze and address gaps in systems design and verification, to ensure we follow best practices on both sides of the classic “V” model. We are seeking an experienced Diagnostics SW engineer to join our growing team. This role will be responsible for driving and aligning key systems diagnostics and health monitoring metrics  across our autonomous vehicle projects, ensuring that we meet the high standards set for performance, safety, efficiency, and innovation. The successful candidate will possess a strong technical background, be skilled in SW development and data analytics, and have a deep understanding of how to drive and use metrics to achieve program objectives.

Responsibilities

• Lead the definition, development, tracking, and management of diagnostics and health monitoring metrics for autonomous vehicle projects, ensuring alignment with company goals.
• Drive cross-functional initiatives, working closely with engineering, operations, product management, and other teams to align projects and initiatives with strategic objectives.
• Implement and refine processes for data collection, validation, and reporting on diagnostics  and health monitoring metrics as well as debugging.  
• Collaborate with engineering teams to translate technical requirements and constraints into metrics and milestones.
• Facilitate communications across teams and stakeholders, ensuring transparency and alignment on project status, risks, and opportunities.
• Drive continuous improvement initiatives, identifying opportunities to optimize processes and systems based on stability and performance metrics.
• Foster a culture of data-driven decision making, providing guidance and training as needed.

• Bachelor's degree in Engineering, Computer Science, or a related field. 
• 7+ years of experience in SW development (C++ and Python).  
• Demonstrated experience in metrics tracking and reporting.
• Understanding of software and hardware diagnostics, particularly over Ethernet and CAN. 
• Excellent analytical, problem-solving, and decision-making skills.
• Strong interpersonal skills with the ability to influence and build relationships at all levels of an organization.
• Proficiency in data analysis tools and diagnostics software.

• Understanding of autonomous vehicle technologies, including machine learning, sensor systems, robotics, and software developments
• Experience with Databricks and Looker 
• Course in Ethernet and familiarity with CAN networks
• Systems engineering background

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The SW HIL team will ensure that the testing environment for system and subsystem testing improves in uptime, reliability, and feature set. To aid the adoption of our testing framework for use by other teams, the SW HIL team will both collaborate in test development and will maintain key tests that exercise the functionality of the testing framework.

We are seeking a highly motivated, energetic, self-starting Platform Engineer to join our Systems Reliability and Stability team. This position will be responsible for ensuring the upkeep, design, and maintenance of various engineering services. You will oversee and collaborate with other teams to ensure the high uptime of our robot testing platforms while measuring and improving their stability, accuracy, and usability. 

Responsibilities

• Lead a team of 3-5 engineers
• Responsible for measuring and maintaining the uptime of various services critical to the development of autonomous vehicles such as testing and validation of on-vehicle hardware
• Involved with all phases of rolling out different services; from design, deployment, operations, and continuous improvement.
• Work with systems handling large volumes of data and data processing pipelines while performing compute-intensive tasks on CPUs and GPUs.

• Bachelor's degree in an engineering, math, or related field and 5+ years of relevant experience
• Experience with hardware or physical systems, cloud-based is applicable 
• Experience supporting multiple in-production services- Experience utilizing tools such as  Ansible/Salt and Terraform effectively  
• Experience with CI/CD tools such as Jenkins or Bamboo
• Experience using Docker, AWS, or Kubernetes
• Linux system administrative experience, Ubuntu preferred

• Master’s degree in an engineering, math, or related field
• Experience handling large data sets 
• Ability to extract and report useful performance or service metrics 
• Excited to build, measure, and improve software that lives on our Main-AI compute stack

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Active Prediction Integration team focuses on the integration of prediction and planning to achieve safe and high-performance autonomous driving. The team is responsible for one of the core algorithmic components of the AI stack that combines basic logic/physics models with advanced uncertainty-aware ML prediction models to reason about how the world evolves in response to candidate robot motions.

We are looking for a manager with a strong background in uncertainty-aware motion prediction and planning, and experience with both machine-learned as well as first-principles (e.g. physics-based) motion and logical reasoning models. The candidate will be responsible for working with the team to set the technical direction, evolve the current architecture and break new ground in further unification of planning, prediction, and perception.

The team collaborates closely with multiple groups across Planner and Zoox including ML behavioral modeling, search/optimization, cost design, prediction and perception. As a leader of the Active Prediction Integration team, the candidate will interact and coordinate efforts across multiple such teams and play a critical role in the evolution of the AI stack at Zoox. If you are passionate about working on fundamental robotic decision-making architectures and their deployment on a novel robot platform, we would like to hear from you.

Responsibilities

• Lead the design and development of integrated prediction and planning architectures
• Set the short and long-term technical direction for the team and collaborate on broader, company-wide directions
• Collaborate with the team members in technical design considerations, implementation, and on-vehicle testing
• Coordinate cross-functional initiatives with other teams across Planning, Prediction, and Perception
• Grow the team by partnering with recruiting and guide the continued professional development of team members

• Extensive experience with AI and/or Robotics 
• Experience with current ML architectures and methodologies
• Excellent communication and problem-solving skills
• Experience with managing highly-technical teams of 5+ engineers
• Relevant experience in the area of autonomous driving with a track record of delivering results in a production environment
• MS or PhD in Computer Science (or a related field)

• Experience with GPU/CUDA C++ architectures and algorithms 

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $220,000 to $370,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox is looking for an Application Administrator to join our IT applications team. The IT Applications group owns and operates a growing number of large and unique applications; we currently have over 100 applications and services to support. Application Administrators will own applications and will collaborate closely with stakeholders regarding upgrades, maintenance, reporting, monitoring, documentation, and feature requests. 

The Zoox application portfolio ranges from specialty internal applications for vehicle engineering, manufacturing, and data science to more general applications used for task tracking, project management, and business intelligence. In addition, the need to support external customer-facing applications, such as payment apps and customer relationship management, continues to grow.

In this role, you will be surrounded by exceptional peers and will be exposed to many challenging tasks with many opportunities to learn and grow. 

Responsibilities

• Experience working with commercial off-the-shelf applications as well as custom-built or highly customized applications.
• Work with stakeholders on features, upgrades, migrations, and integrations.
• Monitor application performance via established practices and methods.
• Manage workflows and in-application configurations to meet stakeholder needs.
• Create light automation tasks, SQL queries, and API interactions for reporting and data management.
• Act as an escalation point for the Client Services team (helpdesk).
• Knowledge of floating networking license management tools such as: FlexLM, RLM, LSDYNA, Olicense, LMX, BetaLM
• Familiarity with the application purchasing process, such as review, onboarding, implementation, administration, and migration/off-boarding lifecycles.

• Ability to take ownership of an application and promote its proper use.
• Experience being a technical escalation support contact for a wide variety of enterprise applications as well as smaller, more specialized applications.
• Comfortable in Windows/GNU Linux).
• Strong experience using, as an administrator or a power user, a ticketing system, such as ServiceNow.
• License management experience preferred.

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $137,000 to $173,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution.  Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company. 

As a safety research engineer focused on quantitative risk assessment, you will help Zoox to improve and expand our existing safety risk assessment framework. The safety risk assessment framework is a critical part of the overall safety case and informs the decision-making in every aspect of the technology.

Responsibilities

• Lead research efforts to improve the quantitative risk assessment methodology
• Identify, collect, and analyze statistical data where it is available
• Develop and standardize best practices of safety risk assessment across the company
• Develop and automate the tooling of the the risk assessment framework
• Contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Software, Hardware, Vehicle Development, Operations, Safety Policy, Legal, etc.

• M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data Science
• Proficiency in quantitative analysis/modeling tools
• Have the ability to use Python to interface with Zoox-internal driving- and simulation data sources
• 3+ years relevant work experiences in understanding and quantifying safety risks
• Collaborative team player with strong written and in-person communication skills

• Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focus
• 7+ years of relevant work experience 
• Publications in the field of quantitative risk assessment for safety engineering

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $196,000 to $281,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch and beyond. Our program managers contribute to the end-to-end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox’s purpose-built robotaxi.

The Senior Technical Program Manager for Robot Platform on PMO is a seasoned program management expert and cross-functional leader that will be responsible for strategic planning and execution of technical and integrated product milestones for our vehicle platforms on our path to launch. This person will work closely with hardware, firmware, software, safety, operations, manufacturing, and systems integration teams to structure, plan, and execute milestones to achieve our company goals. The right candidate will have experience with complex HW/SW systems engineering and integration and with leading large, cross-functional teams to deliver ambitious programs.

Responsibilities

• You will partner with a wide range of department managers to translate the top-down corporate strategy and milestones into detailed technical roadmaps, timelines, and deliverables
• You will influence key decisions by working cross-functionally across engineering, manufacturing, product, operations, and strategy to reach the right outcomes
• You will establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments
• You will define and develop new KPIs and other methods to measure performance that best translate progress toward goals
• You will ensure the program goals are aligned with business objectives, build and sustain momentum among cross-functional TPMs and workstreams towards delivering on time and on target
• You will maintain a technical understanding of our vehicle platforms, software lifecycle, safety clearance process, and test operations

• BS or MS degree in an engineering discipline or equivalent experience
• 10+ years of experience in engineering, program management, or management consulting with a focus on product launches
• Success in driving complex SW/HW integration processes and optimizations and leading complex cross-functional programs end to end
• Comfortable leading through ambiguity and enabling teams to perform in this environment
• Proficient in tools or processes required to manage complex projects (i.e., Gantt chart, risk matrix, Smartsheet, Jira, etc.)
• Excellent written, presentation, and verbal communication skills are a must, ability to create visualizations of KPIs and program risks

• PMP or equivalent
• Experience with autonomous vehicles, test platforms, simulation, and automotive or aerospace processes is highly desired
• Experience with developing and scaling strategy, processes, plans, procedures, reporting, and handling escalations

Compensation:

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $165,000 to $275,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Prediction team is responsible for forecasting the future states of all the dynamic agents around our vehicle. To account for the inherent uncertainty of predicting the future, our job is to compute a probabilistic representation over the intentions and movements of other agents. Our probabilistic predictions are then tightly integrated into our Planning system to deliver a safe and comfortable ride.

Responsibilities

• Develop new algorithms to model and recognize the future behavior of all other agents in the world
• Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
• Engineer software that runs on-vehicle to efficiently execute our algorithms in real time
• Develop metrics and tools to analyze errors and understand improvements of our systems
• Collaborate with engineers on Perception and Planning to solve the overall Autonomous Driving problem in complex urban environments

• BS, MS, or PhD degree in computer science or related field
• Experience with training and deploying Deep Learning models
• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Fluency in C++
• Extensive experience with programming and algorithm design
• Strong mathematics skills
• 8+ years of experience in a related field

• Conference or Journal publications in Machine Learning or Robotics related venues
• Prior experience with Prediction and/or autonomous vehicles in general
• Fluency in Python

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.

Responsibilities

• Defining key performance metrics for our safety critical perception and prediction system, in order to guide product development to a commercial launch
• Apply distributed compute algorithms to efficiently analyze petabytes of urban driving data
• Work closely with ML engineers to develop metrics and tools for analyzing errors and understanding improvements in our systems
• Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation.

• BS, MS, or PhD degree in computer science or related field
• Proficient with C++ and/or Python
• Proficient with Scala / R / SQL
• Familiarity with modern software development methodologies and tools (Agile, Git, unit testing, CI, etc.)
• Experience designing metrics and building mechanisms to fuel business insights
• 8+ years of experience in a related field

• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Experience with existing ADAS technologies, including adaptive cruise control, automatic emergency braking, lane-following, automated lane changing
• Experience with manual or automatic labeling pipelines
• Background in computer vision, perception, or signal processing

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 to $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We are seeking a highly skilled and experienced Senior Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and safety engineers to develop models and metrics to quantify the performance of our perception system. The candidate will also define key performance metrics that will help perception engineers to directly measure the impact of the new features they are developing not only on the Perception stack but also on the end-to-end system behavior.

Responsibilities

• Develop models to analyze and characterize the influence of perception errors in simulated scenarios
• Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
• Collaborate with perception engineers to improve the overall performance of the perception stack
• Analyze large datasets to identify patterns and insights
• Present results and insights to executive leadership
• Provide guidance and mentorship to junior team members

• PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in a data science or related field
• Strong background in statistical modeling and analysis
• Experience with machine learning algorithms and techniques
• Experience designing metrics and building mechanisms to fuel business insights
• Proficient with Spark or large-scale data analysis, SQL
• Proficient with Python 
• Experience working with large datasets
• Strong communication and presentation skills
• Ability to work independently and collaboratively with cross-functional teams

• Experience in the automotive industry or autonomous driving systems
• Experience with Databricks 
• Experience in System Verification and Validation 
• Knowledge of perception systems or computer vision
• Experience with simulation environments 

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 - $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will be responsible for partnering with our AI, simulation, and mission assurance teams to drive improvements, inform development, and identify high leverage projects on our path towards autonomy. You will play a key role in enabling Zoox to develop and scale with a data-driven environment.

You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry.

Responsibilities

• Collaborating with our mission assurance team to validate and ensure the safety of our software
• Defining key performance metrics for our service and ride quality in order to guide product development to a commercial launch
• Identifying key areas of investment for our perception, prediction, and planning teams
• Establishing best practices and statistical rigor around data-driven decision-making

• Experience driving decision-making at various levels in an organization
• Familiarity with SQL
• Familiarity with Python, R, or Scala
• Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders
• Experience designing metrics and building mechanisms to fuel business insights
• Experience with Spark or large-scale data analysis
• Good communication and collaboration skills
• 8+ years of experience in a related field

• Basic fluency in C++
• Experience with geospatial data analysis
• Familiarity with or exposure to experimentation platforms

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $204,000 to $294,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall, CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.

Responsibilities

• You will lead a team of deep learning engineers leveraging technical and managerial skills to deliver high-impact results
• You will set the short and long term technical direction for the team and collaborate on the broader company-wide directions
• You will coordinate cross-functional initiatives with other teams across CAS, Systems Engineering, QA, and more
• You will develop new algorithms that consume raw sensor data input to detect dynamic entities in the world
• You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
• You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time
• You will develop metrics and tools to analyze errors and understand improvements of our systems
• You will collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments

• BS, MS, or PhD degree in computer science or related field
• Experience with training and deploying Deep Learning models
• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Fluency in C++
• Extensive experience with programming and algorithm design
• Strong mathematics skills
• 8+ years of experience in a related field

• Conference or Journal publications in Machine Learning or Robotics related venues
• Prior experience with Prediction and/or autonomous vehicles in general
• Fluency in Python

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 - $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox’s Planner Machine Learning team is applying leading edge ML to solve the difficult problems in motion planning.

The Planner ML team is looking for ML engineers to build the ML models and integrate ML models to the planning system to improve the overall performance of the autonomous driving system.

Responsibilities

• Research, design, implement, optimize and deploy deep learning models that advance the state of the art in planning and control, for autonomous driving
• Leverage fleet data and state-of-the-art techniques in ML
• Implement software that runs on-vehicle to efficiently execute our algorithms in real time
• Develop metrics and tools to analyze errors and understand improvement of system performance

• Advanced degree in Computer Science, Robotics, Physics, similar field(s) of study, or equivalent practical knowledge
• Expertise in building deep learning systems with Python
• Programming experience implementing cutting-edge DeepLearning ML solutions using Tensorflow / PyTorch
• Strong understanding of ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
• 8+ years of experience in a related field

• Experience working on self-driving problems (Perception, Prediction, Planning, Simulation)
• Experience in Imitation, RL (especially offline/off-policy), modern NN architectures (such as GPT) or related techniques
• Experience with C++
• Experience with CUDA

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 to $303,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research in your area of expertise to create and refine key systems and move Zoox forward.

Working at a startup gives you the chance to manifest your creativity and highly impact the final product.

Qualifications

• Masters or PhD degree in an engineering, math, or related field
• Fluency in C / C++
• Extensive experience with programming and algorithm design
• Strong mathematics skills
• 8+ years of experience in a related field

• Experience with path planning
• Experience with computer vision
• Experience with GPU programming
• Experience with autonomous robots
• Experience handling large data sets

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox’s Machine Learning Infrastructure team operates in the intersection of build engineering, internal software development, and applied ML research. We maintain the base layer of ML tools, deep learning frameworks, and inference libraries used by the research teams, add additional features, tooling, automation, and applications, and improve ML models in collaboration with the applied research teams. We advocate for strong software engineering fundamentals with our customer teams.  We catalog the features, quirks, limitations, and bugs present in the systems we maintain so that we can best advise our customer teams when they encounter them.

Zoox is currently hiring for manager roles for both the Training and Inference subteams of the Machine Learning Infrastructure team. 

As a Manager on the ML Infra team you will lead software engineers, acting as a force multiplier for the applied research teams. Balancing internal priorities, external requests, and unscheduled work is a key responsibility. Typical team tasks include library/package upgrades, application development, embedding ML Infra SWEs into customer teams to accelerate multi-month projects, and ad-hoc debugging support.

You will be responsible for hiring for and maintaining the health of your ML Infra subteam.  You will help to grow and coach your direct reports and support the continued success of their careers. 

Responsibilities

• Mentor, coach, and advocate for your direct reports
• Expand the team by participating in all stages of the hiring process
• Plan work streams and coordinate projects with customer teams
• Align goals and progress with Zoox milestones

• Experience growing and managing small teams
• Strong communication skills
• A servant leadership mindset
• Demonstrated ability to prioritize development work and build cross-functional consensus
• Software engineering skills with experience in Python and/or C++
• Familiarity with the ML model lifecycle, including data mining, training, and deployment/inference

• Experience with Tensorflow, PyTorch or similar training frameworks
• Experience with ONNX, TensorRT, or similar inference frameworks
• Experience with Bazel or similar build tooling

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $221,000 to $319,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.

Responsibilities

• You will develop new algorithms that consume raw sensor data input to detect dynamic entities in the world
• You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
• You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time
• You will develop metrics and tools to analyze errors and understand improvements of our systems
• You will collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments

• BS, MS, or PhD degree in computer science or related field
• Experience with training and deploying Deep Learning models
• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Fluency in C++
• Extensive experience with programming and algorithm design
• Strong mathematics skills

• Conference or Journal publications in Machine Learning or Robotics related venues
• Prior experience with Prediction and/or autonomous vehicles in general
• Fluency in Python

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $173,000 to $246,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end to end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox’s purpose-built robotaxi. 

The Sr. Technical Program Manager for AI & Autonomy on PMO is a seasoned program management expert and cross-functional leader that will be responsible for strategic planning and execution of technical and integrated product milestones for our vehicle platforms on our path to launch. This person will work on programs to develop and improve our autonomous driving system metrics and capabilities, data collection operations, validation methods, and data infrastructure, ultimately enabling our robotaxi to serve riders in a rapidly expanding operational design domain.

Responsibilities

• You will partner with a wide range of department managers to translate the top-down corporate strategy and milestones into detailed technical roadmaps, timelines, and deliverables
• You will influence key decisions working cross-functionally across engineering, product, operations, and strategy to reach the right outcomes
• You will establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments
• You will define and develop new KPIs and other methods to measure performance that best translate progress toward goals
• You will ensure the program goals are aligned with business objectives; build and sustain momentum among cross-functional TPMs and workstreams towards delivering on time and on target
• You will maintain a strong technical understanding of our vehicle platforms, software lifecycle, safety clearance process, and test operations

• BS or MS degree in an engineering discipline or equivalent experience
• 10+ years of experience in engineering, program management, or management consulting with a focus on product launches
• Success in driving complex SW/HW integration processes and optimizations, and leading complex cross-functional programs end to end
• Comfortable leading through ambiguity and enabling teams to perform in this environment
• Proficient in tools or processes required to manage complex projects (i.e. Gantt chart, risk matrix, Smartsheet, Jira, etc.)
• Excellent written, presentation and verbal communication skills are a must, ability to create visualizations of KPIs and program risks

• PMP or equivalent
• Experience with autonomous vehicles, test platforms, simulation, and automotive or aerospace processes is highly desired
• Experience with developing and scaling strategy, processes, plans, procedures, reporting, and handling escalations

Compensation:

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $180,000 to $265,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Hardware Test Engineering team is responsible for developing test platforms for validating end-to-end functionality and characterizing the performance of sub-systems, including hardware, firmware, and software. To continue to help Zoox scale our infrastructure, we are looking for a candidate passionate about learning the complexities of our Autonomous Vehicle architecture and its various subsystems and components, and willing to take on challenges to convert product specifications into workable test infrastructure solutions. 

As a Hardware Systems Integration Engineer on the team, you will participate in test infrastructure development, provide technical guidance for test platform build execution, lead system-level troubleshooting, and perform hands-on device measurements. 

Responsibilities

• Work cross-functionally with mechanical, electrical, system architecture, firmware development, hardware-in-the-loop, and firmware validation teams to define and review test infrastructure design 
• Develop and bring up vehicle-representative subsystem test setups to enable ongoing hardware/software development
• Manage large scale test infrastructure for in-house systems unique to Zoox
• Troubleshoot test failures and work with cross-functional teams to root cause and implement solutions
• Develop early prototypes and proofs-of-concept to de-risk new technologies.
• Continuously identify avenues to improve functionality in accordance with Zoox product requirements
• Create and Manage BOM for test assets utilizing industry standard tools (Catia, Enovia, etc)

• BS degree in Electrical, Computer or Systems Engineering
• Hands-on technical experience debugging software-controlled electrical or electromechanical devices
• Experience developing test fixtures and systems
• Experience with lab equipment, oscilloscope, and data acquisition equipment
• Experience with Python or other scripting languages

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $178,000 to $222,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime.

As the Manager of our Motion Planning System Test team, you will lead a team of engineers who help accelerate our product development by partnering with developers to build the safest and most reliable autonomous driving software possible. As developers build new features in Motion Planning and Control, our test engineers develop extensive test plans, design simulated tests to execute many different scenarios, and triage issues seen during on-vehicle testing. These efforts are critical to exposing unforeseen failure modes, implementation bugs, and other issues as a result of new feature development.

Responsibilities

• As a technical leader, you will focus on designing and developing test methodologies targeting the driving behavior of our software stack for autonomous vehicles. The team is responsible for evaluating the performance of our software prior to and in parallel with public road evaluation. 
• You will work closely with Motion Planning, Perception, Prediction, and other Robotics teams to integrate your features and validate driving features.
• Work closely with the Simulation tools development team to provide inputs on capabilities and define roadmaps for the tools ecosystem.
• Promote the development of tools and automation to expand test coverage and improve efficiency by adopting a metrics-based approach.
• Develop dashboards to track progress and quality. Document and troubleshoot test results into actionable issues.

• Bachelor’s or Master's degree in Computer Science or STEM-related field
• 2+ years experience with people management, planning, scheduling, and performing test activities
• 7+ years of experience in software engineering or other modeling and simulation role
• Experience with designing and implementing test strategies that scale across multiple test teams
• Strong organizational, communication, and presentation skills
• Experience with Python and Linux-based operating systems

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $185,000 to $225,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Our group’s mission is to work with teams across Zoox to analyze and address gaps in systems design and verification, to ensure we follow best practices on both sides of the classic “V” model. We are seeking an experienced Technical Program Manager to join our growing team. This role will be responsible for driving and aligning key outcome-based stability metrics and associated diagnostics across our autonomous vehicle projects, ensuring that we meet the high standards set for performance, safety, efficiency, and innovation. The successful candidate will possess a strong technical background, be skilled in program and project management, and have a deep understanding of how to drive and use metrics to achieve program objectives.

Responsibilities

• Lead the definition, development, tracking, and management of stability and performance metrics for autonomous vehicle projects, ensuring alignment with company goals.
• Drive cross-functional initiatives, working closely with engineering, operations, product management, and other teams to align projects and initiatives with strategic objectives.
• Implement and refine processes for data collection, validation, and reporting on key stability and performance metrics as well as diagnostics and debugging.  
• Collaborate with engineering teams to translate technical requirements and constraints into metrics and milestones.
• Facilitate communications across teams and stakeholders, ensuring transparency and alignment on project status, risks, and opportunities.
• Drive continuous improvement initiatives, identifying opportunities to optimize processes and systems based on stability and performance metrics.
• Foster a culture of data-driven decision making, providing guidance and training as needed.

• Bachelor's degree in Engineering, Computer Science, or a related field
• 7+ years of experience in program/project management in a technical field
• Demonstrated experience in metrics development, tracking, and reporting
• Understanding of software and hardware diagnostics, particularly over Ethernet and CAN
• Excellent analytical, problem-solving, and decision-making skills
• Strong interpersonal skills with the ability to influence and build relationships at all levels of an organization
• Proficiency in data analysis tools and project management software

• Master's degree or MBA preferred
• Understanding of autonomous vehicle technologies, including machine learning, sensor systems, robotics, and software developments
• Experience in Ethernet and familiarity with CAN networks
• Systems engineering background

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

As a Systems Integration Engineer, you will work with multi-disciplinary teams with backgrounds in AI, mechatronics, computer vision, vehicle design, and robotics. You will liaise with our software, vehicle, experience, and hardware organizations to align and integrate our various platforms. You will also support teams to build, test, and diagnose the root causes of bugs and errors to engineer robust prototyping solutions. You will be challenged to develop and integrate initial hardware and software prototypes for proof of concepts and guide the design needs to maintain a stable development platform. At times, you will be involved with projects end-to-end, from the concept through the validation stage.

Responsibilities

• Work with Application, Software, and other Electronic Engineers to help define and meet customer/system requirements of hardware/software
• Work with Mechanical Design, Harness, and Test Engineers to come up with novel methods of hardware integration and test setups
• Documentation of electrical hardware requirements and design (schematics, assembly drawings, BOM, PCB layouts, etc.)
• Evaluate vehicle or equipment designs and recommend design or process changes to improve efficiency, quality, or performance
• Design and manufacture prototype systems; components and harnessing
• Develop and perform detailed test and validation plans, schedules, and procedures for developmental testing and validation
• Provide laboratory support for integration testing
• Research up-and-coming technologies and evaluate applicability for Zoox
• Interface with prototype and design engineers to define system requirements and validation plans
• Serve as the principal subject matter focal point between design, prototyping, and systems integration
• Leading electro-mechanical integration for Zoox test assets

• Bachelor’s or Master's Degree in Electrical Engineering or similar
• 8+ years of relevant industry experience
• Control Systems related experience
• Fluent in Electrical Design and Schematics
• Fluency in C++/Python
• Experience interfacing with CAN and LIN-based systems and logs using tools such as CANalyzer, CANape
• Experience transitioning products and processes from prototype to production desired

• Working knowledge of PCB design
• Experience with modern computer vision techniques
• Programming and algorithm design
• Knowledge of multi-disciplinary control system architecture
• Experience handling large data sets efficiently
• Mechanical design experience
• Experience conducting research to create new/innovative solutions to problems

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $162,000 to $266,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox is looking for a Senior Technical Program Manager to support our hardware development effort. In this role, you will work cross-functionally with our engineering leaders across software, hardware, vehicle engineering, and product to help us achieve our strategic and tactical milestones. You will work with engineering teams to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

Our Sensor Integration team is responsible for designing and delivering beautiful sensor assemblies across the vehicle and ensuring sensor performance is maintained across any conditions we might face: rough roads, the desert sun, monsoon rain, or Bay Area fog. You’ll be challenged to manage and integrate long-term hardware design and validation waterfalls with agile sensor and perception software sprints. You’ll rally engineers and leads within these teams, and engage with stakeholders across operations, vehicle and hardware design, perception, and autonomy software, to deliver solutions to an active autonomous ridesharing service.

As with any startup, we move fast here at Zoox, and many candidates will be asked from time to time to wear many hats. We would love to hear from you if you are up for adapting to the challenges, taking on new roles as needed, and hitting deadlines. If you’re not shy about herding cats and managing chaos, then this role was made for you!

Responsibilities

• You will work with cross-functional hardware system owners to translate the top-down vehicle program goals and milestones into detailed product road maps, timelines, and deliverables
• You will ensure every stakeholder understands what they need to deliver at all times
• You will establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments
• You will ensure problems and risks are identified and proactively ensure that risk-mitigating actions are ongoing within the engineering teams
• You will set the agenda for key decisions to be made at each meeting to eliminate bottlenecks and retire risks
• You will support key decisions working cross-functionally across engineering, finance, and strategy to reach the right conclusions

• BS or MS degree in Mechanical or Electrical engineering
• Minimum of 10 years of experience in engineering hardware development, and program management
• Deep familiarity with the automotive development processes, with experience launching automotive electronics modules
• Experience managing external, international Tier 1 suppliers to deliver through all stages of an automotive development program.

• Proven track-record in managing complex cross-functional projects
• An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each audience
• Proficient in tools required to manage complex projects 

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $150,000 to $249,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

The Logistics Production Planner is responsible for the accuracy and timeliness of the production process. Duties include focusing on strategies to produce our product on the right day, recover any delay in production deliveries, as well as proactively communicate and align production targets with customers' needs.

Our team has a collaborative culture marked by openness and supportive risk-taking. You’ll be part of a passionate team dedicated to making cities safer, smarter, and more sustainable. 

Responsibilities

• Schedule of production, ensuring optimal production levels to attain customer demand and milestones/deadlines.
• Coordinate with various departments, including procurement, manufacturing, vehicle engineering, and logistics, to ensure smooth production flow and timely availability of materials.
• Coordinate and agree with main stakeholders on the production plan and get approval from the executive team.
• Understand the manufacturing line restrictions to produce the most efficient production plan that meets internal customer requirements.
• Monitor and track production progress, identifying any delays or issues that may impact the schedule, and take appropriate corrective action—estimating the number of working hours required for production.
• Recommending viable solutions to reduce production costs and improve production processes and product quality.
• Compiling status and performance reports and submitting them to management on time.

• Bachelors degree or equivalent in supply chain management or Industrial engineering
• 10+ years of experience in a production planning or scheduling role, in the automotive industry, preferably in a logistics or manufacturing environment.
• Proficiency in using ERP production planning software (i.e. SAP, Oracle, etc.) or specialized planning tools
• Strong analytical skills and the ability to analyze production data, generate reports, and derive insights to drive decision-making and process improvements.
• Advanced understanding of supply chain management principles, including demand forecasting, inventory management, and logistics operations

• Certified in Production and Inventory Management (CPIM) or other relevant certification
• Familiarity with the SAP Production Schedule Module
• Masters degree in supply chain management or Industrial engineering

Compensation and Benefits

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $120,000 to $197,000 A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox’s Machine Learning Platform team operates in the intersection of build engineering, internal software development, and applied ML research. We maintain the base layer of ML tools and deep learning frameworks used by the research teams, add additional features, tooling, automation, and applications, and improve ML models in collaboration with the applied research teams. We advocate for strong software engineering fundamentals with our customer teams.  We catalogue the features, quirks, limitations, and bugs present in the systems we maintain so that we can best advise our customer teams when they encounter them.

ML Platform is looking for focused, proactive senior-to-staff software engineers.  By joining our team, you will design and deliver a performant, comprehensive platform for ML research and development to our internal customers. You will improve the production deployment mechanisms used for on- and off-vehicle inference. You will work with teams from IT, build and release, and cluster management on projects to advance our mission. You will provide technical leadership to the team and mentor new hires. People management opportunities will be available as the team grows.

Responsibilities

• Integrate ML tools and frameworks into the Zoox software ecosystem
• Design and implement in-house tools, utilities, and automation to improve ML research workflows
• Advise and assist Zoox’s ML research teams with development on the ML platform
• Lead internal and cross-team projects for ML platform

• Experience with Python and Linux
• 5+ years of professional software engineering experience
• Strong software engineering fundamentals
• Aptitude for troubleshooting, debugging, and fixing arcane issues

• Experience with C++ or CUDA, gdb, valgrind and related tools
• Hands-on experience with machine learning model development or deployment using TensorFlow or PyTorch
• Familiarity with TensorRT, Bazel, AWS EC2
• Team leadership or engineering management experience

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $196,000 to $319,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.