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We’re looking for an experienced platform engineer who can integrate infrastructure into a platform with a focus on reliability and scalability. Our teams and users will trust and rely on the platform you help build to do their best work and build their businesses.

What we're looking for

• Strong interest in development platforms, MLOps, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling internal platforms using Javascript, Typescript, or Go
• Experience with system, API, and infrastructure design using cloud concepts such as storage volumes, private networks, container scheduling, and Kubernetes

What you'll be doing

• Own a technical area by leading a team
• Work primarily in Typescript/Javascript and some Go
• Implement MLOps platform features that integrate with Kubernetes supporting multiple clouds providers
• Integrate cloud capabilities with the platform such as: storage, private networks, and load balancers
• Add and maintain integrations to platform entities such as storage providers, datasets, models, and metrics
• Ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

Technical problems the team has worked on

• Integrating storage quotas with a distributed file system and Kubernetes
• Wrote a fluent-bit plugin in Rust to handle multi-tenancy authentication for logging
• Created a multi-node image cacher for Kubernetes that supports limits
• Create an architecture to store datasets with a unified interface to multiple S3 providers
• Create a user facing YAML spec to be used for a workflow engine to support CI/CD primitives
• Create a terraform module for cluster provisioning and a CLI to facilitate installation

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We’re looking for an experienced, platform engineer who can integrate infrastructure into a platform with a focus on reliability and scalability. Our teams and users will trust and rely on the platform you help build to do their best work and build their businesses.

What we're looking for

• Strong interest in development platforms, MLOps, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 6+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling internal platforms using Javascript, Typescript, or Go
• Experience with system, API, and infrastructure design using cloud concepts such as storage volumes, private networks, container scheduling, and Kubernetes

What you'll be doing

• Work primarily in Typescript/Javascript and some Go
• Implement MLOps platform features that integrate with Kubernetes supporting multiple clouds providers
• Integrate cloud capabilities with the platform such as: storage, private networks, and load balancers
• Add and maintain integrations to platform entities such as storage providers, datasets, models, and metrics
• Ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

Technical problems the team has worked on

• Integrating storage quotas with a distributed file system and Kubernetes
• Wrote a fluent-bit plugin in Rust to handle multi-tenancy authentication for logging
• Created a multi-node image cacher for Kubernetes that supports limits
• Create an architecture to store datasets with a unified interface to multiple S3 providers
• Create a user facing YAML spec to be used for a workflow engine to support CI/CD primitives
• Create a terraform module for cluster provisioning and a CLI to facilitate installation

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We’re looking for an experienced network engineer who can architect, scale, and maintain Paperspace’s global network. We’re looking for people to help build the backbone for a high performance cloud.

What we're looking for

• 6+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling infrastructure using engineering practices with languages such as Python, Go, or Bash
• Experience with linux OS, monitoring, and alerting
• Expert-level understanding of TCP/IP, IPv4/IPv6
• 2+ years experience in a 24/7 operational environment
• Understanding overlay and underlay networking concepts
• Demonstrated experience with software-defined networking solutions
• Experience with architecting, maintaining, and scaling high performance network architectures

What you'll be doing

• Providing hands-on technical design and engineering for network architecture and reliability
• Monitor the network and resolve any issues
• Provide support to customers with network issues
• Managing network capacity and providing forecasting for future network needs
• Collaborate on network automation solutions

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the Team

OpenAI’s Scaling team operates at the far edge of all available innovations in AI — doing the engineering and research required to harness custom-built hyperscale supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.

We build our own model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery.

The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform.

About the Role

As a Researcher or Software Engineer in Systems and Scaling, you will work at the intersection of hardware and software, co-designing systems and ML code that aim to deliver near-optimal performance for training large-scale AI models. Our team moves at a fast pace and provides individuals with a high degree of autonomy and a strong ability to affect change.

An ideal candidate would have:

• Experience and passion for building systems from the ground up.
• Experience in tackling novel systems problems.
• A Deep understanding of performance and comfort with theoretical performance modeling.
• Breadth across a few areas of systems research (operating systems, networking, distributed systems, architecture, programming languages) and deep expertise in one.
• Excellent communication skills. You can explain your work's intricacies to a non-technical audience if need be.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

OpenAI’s Hardware Health team oversees all hardware health related aspects of our custom-built hyperscale supercomputers. The team is responsible for maximizing the available supercomputing capacity for research and ensuring that our researchers are minimally impacted by hardware faults.

The hardware health team is being incubated inside OpenAI’s Scaling team, which operates at the far edge of all available innovations in AI — doing the engineering and research required to train large-scale AI models of unprecedented capability.

About the Role

As a Tech Lead in Hardware Health, you will serve as the main point of contact for the team and work closely with the Scaling team to develop strategy and deliver on goals. You will oversee the maintenance of a sophisticated and comprehensive suite of hardware health tests, lead projects to root-cause newly-discovered issues, and ensure that the research team is minimally impacted by hardware faults.  As the team grows, we would ideally like for this person to become the Engineering Manager.

The team moves at a fast pace, and a successful Tech Lead will be supportive of team members while providing a strong sense of direction and focus.

An ideal candidate would have:

• Prior experience as a Tech Lead or similar leadership role
• Proven ability to lead and manage projects from start to finish
• Technical expertise with Python, shell scripting, SQL, PromQL, and Pandas
• Experience developing reproducible analyses, dashboards, and visualizations
• A high level of detail orientation and a good intuition for when results are “too good/bad to be true”
• A strong sense of ownership causing them to very carefully monitor outcome of deployed updates

Bonus Points if you have expertise and interest in low-level details of hardware components, protocols, and associated Linux tooling (PCIe, networking, power management, kernel perf tuning)

About the Team

OpenAI’s Hardware Health team oversees all hardware health related aspects of our custom-built hyperscale supercomputers. The team is responsible for maximizing the available supercomputing capacity for research and ensuring that our researchers are minimally impacted by hardware faults.

The hardware health team is being incubated inside OpenAI’s Scaling team, which operates at the far edge of all available innovations in AI — doing the engineering and research required to train large-scale AI models of unprecedented capability.

About the Role

As a SWE in Hardware Health, you will work to maintain a sophisticated and comprehensive suite of hardware health tests and collaborate with researchers and our Supercomputing team on root-causing and reliably reproducing newly discovered problems.

The team moves at a fast pace and provides individuals with a high degree of autonomy and a strong ability to affect change.

An ideal candidate would have:

• A balance of building and operational skills
• Excellent abilities developing in python and shell scripting
• A high degree of comfort digging into noisy data with SQL, PromQL, and Pandas
• Experience developing reproducible analyses / building dashboards and visualizations
• A high level of detail orientation and a good intuition for when results are “too good/bad to be true”
• A strong sense of ownership causing them to very carefully monitor outcome of deployed updates
• Prior TL experience as this is a 0-1 effort with team growth on the horizon

Bonus Points if you have expertise and interest in low level details of hardware components, protocols, and associated Linux tooling (PCIe, networking, power management, kernel perf tuning)

About the Team

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

About the Role

As a Software Engineer, you will help build AI systems that can perform previously impossible tasks or achieve outstanding levels of performance. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and building the science behind the algorithms employed. In all the projects this role pursues, the ultimate goal is to push the field forward.

The Research Acceleration team builds high-quality research tools and frameworks to increase research productivity across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. For example, we recently collaborated with our Codegen research team on the Codex model, which can generate code in Python and many other languages.

Do you love research tools, training frameworks, and collaborating on cutting-edge AI models? If so, this role is for you! We are looking for people who are self-directed and enjoy determining the most meaningful problem to solve in order to accelerate our research.

We're looking for a track record of:

• 3+ years of relevant software engineering experience
• Owning problems end-to-end, with a willingness to pick up whatever knowledge is missing to get the job done
• Some demonstrated interest in ML
• Bonus: contributions to an AI framework such as PyTorch or Tensorflow.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy