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About SafeAI

SafeAI sees the future of heavy industry with off-road autonomous vehicles reshaping industries like construction and mining. We are pioneering a new approach to autonomous off-road equipment with AI-powered, vehicle and manufacturer agnostic technology that enables heavy industry operations to retrofit any piece of equipment with autonomous technology. Since 2017, we’ve been steadily establishing a foundation for the future, targeting the most important, heavily used off-road vehicles and industry segments to drive meaningful impacts across safety, productivity and cost reduction. We are now entering an era of massive industry adoption and are excited to be a commanding force in accelerating this movement to transform heavy industry with connected autonomy. 

About the Team 

As a fast paced, high growth company serving a very important mission, our amazing and talented team is a huge part of bringing this mission to reality. The work that you do at SafeAI will give you a unique perspective on developing and deploying leading edge autonomous technology and solutions, while working with top tier participants in the industry, and across the globe. The leadership team at SafeAI brings a unique blend of autonomous technology and industry specific experience from some of the top companies in the world, such as Google, Apple, Tesla, Continental, Uber, Caterpillar, BHP and Rio Tinto. We are strategically headquartered in Silicon Valley, with team members and office locations established in Perth, Australia, Tokyo, Japan and New Delhi, India that you would collaborate with on a regular basis.

SafeAI is seeking a highly capable lead software engineer to develop and maintain vehicle platform, networking and communications software to host autonomous capabilities and enable vehicle to vehicle and vehicle to infrastructure coordination of autonomous vehicles. 

Responsibilities

●      Lead development of vehicle platform software across application, operating system, device framework, protocol stack, drivers and low level wireless controller

●      Lead and grow a team of world-class engineers

●      Develop technology roadmaps and own strategic vision for behavior and motion planning

●      Implement, support, and drive projects to support network architectural designs that enhance the network’s performance, availability, and security

●      Develop complex, reliable, efficient, production-level well-tested and latency-optimized software in C++ for deployment in a modern CPU/GPU platform

●      Provide high level oversight to technical and non-technical entities in order to define requirements and deliver solutions to meet project needs

●      You will work closely and cross-functionally with internal teams

●      Develop models of overall system performance and assess performance tradeoffs to maximize system performance

●      Deploy and test code on mining and construction equipment 

Minimum Requirements

●      M.S. or Ph.D. in Electrical Engineering, Computer Science, Robotics, Physics, Applied Mathematics or related field

●      5+ years of experience in software development

●      Good leadership and mentoring skills

●      Strong presentation and communication skills 

●      Strong programming skills with C/C++ (C++11 and beyond), with demonstrated delivery of robust, well-tested C++ software

●      Experience with microcontroller programming

●      Proven expertise with device driver development

●      Knowledge of one or more of wireless protocols such as Wi-Fi, Bluetooth/BLE, Sigfox, LoRa, Zigbee or Z-Wave

●      Experience with Wireless Protocol Analyzers

●      Proven expertise with at least one RTOS environment

Preferred Requirements

●      Experience as a technical or team lead, passionate about leading and building strong technical team

●      Experience with DDS and other middleware technologies

●      Hands-on experience in robotic and/or vehicle system design and implementation

●      Experience with vehicle management systems

●      Experience with C++ 14 and 17

●      Experience with ROS/ROS2

●      Experience with Linux platform

●      Experience with developing safety critical reliability systems

●      Familiarity with MISRA standard

The base salary range for this position is $160K - $230K per year. SafeAI’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. 

The Perks

In addition to a very competitive compensation and benefits package, we offer a fantastic culture and place to work within an established start-up environment. We provide plenty of snacks, grab & go meals and drinks to get you through the day, and we celebrate our accomplishments with off-sites gatherings and frequent happy hours. As an Equal Opportunity Employer M/F/D/V/SO, we do not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law.  

Benefit highlights:

·       Competitive compensation package, including stock options

·       Medical, dental, and vision benefits for employees and dependents

·       401(k) plan

·       Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)

·       Flexible vacation policy

·       Free access to onsite Fitness Center

·       Learning and development programs

·       Employee assistance program

·       Adoption assistance program

·       Community snacks, meals & beverages

We hope that you’re a great candidate for this position and look forward to speaking with you!

Founded in 2017, percipient.ai utilizes state-of-the-art research in Computer Vision, Artificial Intelligence, and Deep Learning to develop cutting-edge tools that bridge the gap between AI and human understanding. We pride ourselves in maintaining an inclusive and collaborative work environment that enables each individual to grow while having a meaningful impact on national security. Join our team today.

Percipient is currently seeking to hire multiple computer vision scientists with varying levels of experience.

Responsibilities:

• Work on highly impactful computer vision and machine learning problems our customers face.
• Develop and productize computer vision algorithms drawing upon computer vision literature and using your own ingenuity.
• Collaborate with engineering and product teams to create solutions.

• Ph.D. in Computer Science or Electrical Engineering with a focus on computer vision.
• 5 years of industry experience, building and shipping computer vision systems.
• 2 years of hands-on experience with deep neural network based methods.
• Experience with object detection, classification, and tracking
• Strong software development skills.
• US citizenship required due to federal requirements.

• 8+ years of relevant work experience.
• Strong publication record in major CV conferences like CVPR, ICCV, etc.
• Experience building real-time computer vision systems.
• Experience architecting and tweaking deep neural networks for solving targeted problems.
• Very strong proficiency in programming (ideally C++ and python)

We want the best for all of our employees and go out of our way to provide top-tier benefits. Join our team to receive:

 ● Substantial Equity

 ● Unlimited Flexible Time Away (FTA)

 ● 401k Matching

 ● 90% Employee Medical Premium Coverage

 ● 65% Dependent/Family Medical Premium Coverage

 ● Flexible Spending Accounts

 ● Employee Referral Program

 ● Lunches & Snacks

 ● Commuter Benefits

 ● Life Insurance

 ● Travel Assistance

 ● And more

Percipient.ai is a proud equal-opportunity employer and we are committed to hiring and supporting a diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We hire talent located within a daily commutable distance to our offices in Santa Clara, CA, and Reston, VA. Certain roles may be performed in either of those sites or remotely within the US. We believe in the benefit of a highly-collaborative in-office culture, so if you're in the Bay Area or near the Reston Town Center plan to be in the office 2-3 days a week.

About Plus

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Responsibilities

• Provide hardware and software support on PlusAI’s full-stack, self-driving technology for large-scale, autonomous commercial fleets.
• Perform research and contribute to how the PlusAI autonomous system achieves higher levels of autonomy through machine learning engineering.
• Responsible for supporting the company in designing and building end-to-end systems, algorithms, and software for constructing autonomous vehicles.
• Utilize knowledge of commonly used computer vision, machine learning, deep learning frameworks and libraries (OpenCV, Tensorflow, PyTorch), and software development tools to collaborate with teams of different functionalities and integrate various components (perception, planning, control etc.) into a running system.
• Research and construct machine learning or deep learning-based models for enabling self-driving vehicles to perceive and understand the surrounding environment.
• Review and analyze complex system requirements, and translate detailed designs into various computer programming languages, such as Python.
• Design and develop perception and computer vision algorithms, and make improvements to the existing perception stack.
• Research and implement state-of-the-art techniques for object-detection, lane-tracking, image segmentation, and other computer vision tasks to build fast, accurate, and reliable systems for enabling tracking and control in autonomous vehicles.
• Develop and train new deep learning models that expand the capabilities of the system.
• Write algorithms to better represent the state of each obstacle, enabling the system to have a better understanding of the future behavior of the obstacle, and predict any sudden maneuvers such as cutins, takeovers etc.
• Research state-of-the-art techniques for model training and optimization, computer vision algorithm development, and writing object-oriented code in Python.
• Work closely with other engineering teams to resolve a wide range of driving scenarios, including requirements across the stack to develop safe vehicle behavior in nominal and challenging scenarios.
• Use good oral and written communication skills to collaborate and coordinate with other engineers and developers to review progress, and present reports to the head of engineering at major milestones.
• International and domestic travel to client sites and business conferences/meetings.

• Master’s degree in Computer Science/Engineering or related field, and 1 year of experience as a Computer/Software Engineer or related occupation. 

• Must have experience with the following (Experience may be acquired during graduate studies/research).
• Conducting Research
• Python
• Machine Learning 
• Computer Vision
• Deep Learning 
• OpenCV 
• Tensorflow
• PyTorch

• Must have good oral and written communication skills.
• International and domestic travel to client sites and business conferences/meetings (up to 10%).

Note: Work is also performed at the company office in Fremont, CA (41320 Boyce Road, Fremont, CA 94538).

Your opportunities joining Plus

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.

About Plus

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Responsibilities

• Provide hardware and software support on PlusAI’s full-stack, self-driving technology for large-scale, autonomous commercial fleets.
• Perform research and contribute to how the PlusAI autonomous system achieves higher levels of autonomy through machine learning engineering.
• Responsible for supporting the company in designing and building end-to-end systems, algorithms, and software for constructing autonomous vehicles.
• Research and construct machine learning or deep learning-based models for enabling self-driving vehicles to perceive and understand the surrounding environment.
• Utilize knowledge of commonly used robotics, computer vision, machine learning, deep learning frameworks and libraries (robot operating system (ROS), Tensorflow, pyTorch) and software development tools to collaborate with teams of different functionalities and integrate various components (perception, planning, prediction, control, simulation, and data infrastructure) into a running system, using good oral and written communication skills.
• Responsible for the calibration of all sensors used in autonomous vehicles, including cameras, radars, and LiDARs (light detection and ranging).
• Design and develop software infrastructure to obtain all sensor calibrations during run-time.
• Review and analyze complex system requirements, and translate detailed designs into various computer programming languages, such as C++ and Python.
• Run continuous checks and tests offline to verify tracking algorithms are performing up to speed with the latest sensor calibrations.
• Perform extensive road testing of the run-time calibration to ensure that all software components are running as expected.
• Ensure sensors that are replaced and/or moved have adequate calibrations calculated, and verify the reliability and correctness of calibration algorithms on the truck.
• Review and identify scenarios where the performance drops and false positives occur, and work on algorithms to eliminate them, using knowledge of deep reinforcement learning.
• Maintain and improve existing code base, and review codes and algorithms periodically to enhance productivity.

• Master’s degree in Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, or related field.

• Must have experience with the following (Experience may be acquired during graduate studies/research).

• Conducting Research
• C++ and Python
• Robotics
• Machine Learning
• Computer Vision
• Deep Learning
• Robot Operating System (ROS)
• Deep Reinforcement Learning

• Must have good oral and written communication skills.

Note: Work is also performed at the company office in Fremont, CA (41320 Boyce Road, Fremont, CA 94538).

Your opportunities joining Plus

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images.  We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience. 

Purpose:

As a Research Scientist at Whiterabbit.ai, you will:

- Play a key role in architecting the algorithms and models that will power our products

- Train on a dedicated high-performance compute cluster specialized for deep learning research

- Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions

- Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Responsibilities:

- Develop highly scalable classifiers and detectors that solve real-world problems

- Learn and understand a large body of research in deep learning and machine learning

- Participate in cutting-edge research for medical applications of computer vision

Must Haves:

- MS or PhD-level experience with deep learning and convolutional networks

- Contributions to research communities and efforts, such as publications at top tier conferences or high impact peer-reviewed journals

- Strong theoretical and empirical research background

- Extensive experience developing models for computer vision tasks (e.g. detection, classification, segmentation, domain adaptation) for real world problems.

- Ability to design, plan and carry out experiments to analyze and validate models' performance.

- Fluency with Python and a deep learning framework, preferably PyTorch

Nice to Haves:

- Large scale machine learning experience working with terabytes of data

- Experience working with and contributing to large multi-user code bases

- Experience conducting studies with physicians to evaluate AI performance and clinical implementation

- Experience with organizing, curating, and annotating datasets for computer vision problems

- Knowledge of medical imaging and DICOM data

- Imagination, ambition, and curiosity

About Plus

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Responsibilities

• Provide hardware and software support on PlusAI’s full-stack, self-driving technology for large-scale, autonomous commercial fleets. Perform research and contribute to how the PlusAI autonomous system achieves higher levels of autonomy through machine learning engineering, specifically in perception.
• Responsible for supporting the company in designing and building end-to-end systems, algorithms, and software for constructing autonomous vehicles.
• Utilize knowledge of commonly used computer vision, machine learning, deep learning frameworks and libraries (Tensorflow, PyTorch), and software development tools to collaborate with teams of different functionalities and integrate various components (perception, planning, control etc.) into a running system.
• Collaborate with research scientists in the research and design team to integrate new sensors, and implement, evaluate, debug, and deploy fine-tuned, vision-based perception algorithms to prototype vehicles.
• Research and construct machine learning or deep learning-based models for enabling self-driving vehicles to perceive and understand the surrounding environment.
• Review and analyze complex system requirements, and translate detailed designs into various computer programming languages, such as C++ and Python.
• Research and implement state-of-the-art techniques for object-detection, lane-tracking, image segmentation, and other computer vision tasks to build fast, accurate, and reliable systems for enabling tracking and control in autonomous vehicles. Review and resolve technical issues, and improve the performance and latency of the camera, LiDAR, and radar-based perception systems, using knowledge of computer vision, machine learning, and deep learning principles and methodologies.
• Research state-of-the-art techniques for model training and optimization, computer vision algorithm development, and writing object-oriented code in C/C++ and Python.
• Design, develop, and optimize compute unified device architecture (CUDA) code for deployment to graphics processing units (GPU) architecture to manage and improve latency of the end-to-end 3D obstacle detection perception pipeline.
• Work closely with other engineering teams to resolve a wide range of perception driving scenarios, including requirements across the stack to develop safe vehicle behavior in nominal and challenging scenarios. Use good oral and written communication skills to collaborate and coordinate with other engineers and developers to review progress, and present reports to the head of engineering at major milestones.

• Master’s degree in Computer Science/Engineering, Electrical Engineering, or related field.
• Must have experience with the following (Experience may be acquired during graduate studies/research.):
• Conducting Research
• C++ and Python
• Machine Learning
• Computer Vision
• Deep Learning
• CUDA
• Tensorflow
• PyTorch

• Must have good oral and written communication skills.

Your opportunities joining Plus

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.

We are a growth stage company that creates software solutions combining lean principles, predictive and prescriptive analytics, and machine learning to transform hospital and infusion center operations. More than 180 health systems and over 600 hospitals across 43 states rely on our award-winning products to increase patient access, decrease wait times, and reduce healthcare delivery costs. We have raised more than $300 million from top-tier investors such as Bain Capital, Insight Partners, and Goldman Sachs. We have been named among the top 100 AI companies in the world.

LeanTaaS Inc.is seeking a qualified Senior Data Scientist

Job Duties and Requirements:

Senior Data Scientist needed in Santa Clara, CA to extract and validate of structured and unstructured data including complex medical free text data. Massage and standardize of EHR data. Discover hidden patterns in large data sets using techniques from statistics, discrete mathematics, and machine learning. Specifically detect anomalies, natural clusters, and numerical trends in processed EHR data. Groom data for use in mathematical operational algorithms, and machine learning models. Assess requirements and available data for a given problem and build the machine learning framework. Perform feature selection and feature engineering and identify the best suitable machine learning model for the specific problem. Finetune model parameters to optimize model accuracy. Iterative brainstorm with customers and product managers to understand the fundamentals of pressing operational problems in healthcare and the subtleties and realities of potential solutions. Build complex mathematical models such as mixed integer programming, agent-based simulation, and genetic algorithm to addresses the problems, and specifying the data required and actionable output from the models. Cull possible models to scalable implementation approaches that are viable for integration into the product. Rigorous software specifications of complex algorithms such as custom forecasting, mixed integer linear programming, natural language processing, etc. Implement data intensive software features with clean and modular code using single responsibility principle, object-oriented design, functional paradigms, etc. to make the code efficient, clean, testable, and maintainable. Continuous improvement and optimization of current models, ensuring compatibility with the evolving demands of the product. Must have a Master’s degree (or foreign equivalent) in Data Science, Engineering (any) or related field and 3 months of Analytics experience. 3 months of Analytics experience must include experience with Python and Optimization Models. In the alternative, we will accept a Bachelor’s degree (or foreign equivalent) in Data Science, Engineering (any) or related field and 5 years of progressive experience in Analytics. 5 years of progressive experience in Analytics must include 3 months of experience with Python and Optimization Models. Any suitable combination of education, training, is acceptable.

Job Location: Santa Clara, California

How to apply: Send resumes 471 El Camino Real, Ste 230, Santa Clara, CA 95050. Online applications are not valid.

LeanTaaS is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. All qualified applicants for employment will be considered without regard to race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you require assistance during the application process, please reach out to accommodations@leantaas.com. LeanTaaS will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

Please note: LeanTaaS is not accepting agency resumes at this time, and we are not responsible for any fees related to unsolicited resumes. Thank you.