Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Data Pipelines
Distributed Systems @ 6
Machine Learning
Robotics
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The OpenAI Robotics team focuses on unlocking general-purpose robotics and advancing AGI-level intelligence in dynamic, real-world settings. The team works across the entire model stack, integrating hardware and software across a broad range of robotic form factors.
The role involves designing and scaling the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You will manage distributed data pipelines, collaborate with researchers to translate requirements into robust systems, and harden pipelines that support rapid iteration cycles. The ideal candidate has strong distributed systems experience and excels at building reliable infrastructure in high-stakes environments.
Responsibilities
- Design, build, and maintain data infrastructure systems, including distributed compute, data orchestration, distributed storage, streaming infrastructure, and machine learning infrastructure.
- Ensure scalability, reliability, security, and efficiency across data infrastructure systems.
- Scale the data platform by orders of magnitude while maintaining reliability and efficiency.
- Partner with researchers to understand requirements and translate them into production-ready systems.
- Harden, optimize, and maintain critical data infrastructure supporting multimodal training and evaluation.
Requirements
- Strong experience with distributed systems and large-scale infrastructure, with a strong interest in data.
- Detail-oriented approach and rigor in building and maintaining reliable systems.
- Excellent software engineering fundamentals and organizational skills.
- Comfort working with ambiguity and rapid change.
Work Arrangement
- Based in San Francisco, California.
- Hybrid work model requiring three days in the office per week.
- Relocation assistance is offered to eligible new employees.
Benefits
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health, dependent care, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, office closures, and paid sick or safe time as required by law.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Equity and performance-related bonuses may be included in total compensation.
More jobs at OpenAI
Strategic Delivery Lead, Intelligence Community
OpenAI · Washington, United States
USD 266,000-370,000 per year
Product Manager, Youth
OpenAI · San Francisco, United States
USD 293,000-385,000 per year
Software Engineer, API Safety
OpenAI · San Francisco, United States
USD 293,000-385,000 per year
Head of Marketplace
OpenAI · New York City, United States, San Francisco, United States
USD 400,000-445,000 per year
Research Engineer / Research Scientist, Health
OpenAI · San Francisco, United States
USD 295,000-555,000 per year
Similar jobs
Machine Learning Engineer, Distributed Data Systems - Robotics
OpenAI · San Francisco, United States
USD 295,000-445,000 per year
Staff+ Software Engineer, Infrastructure (Distributed Systems)
Anthropic · New York City, United States, San Francisco, United States, Seattle, United States
USD 320,000-485,000 per year
Staff Software Engineer, Machine Learning Platform
Stripe · South San Francisco, United States, Seattle, United States
USD 224,000-336,000 per year
Forward Deployed Engineer - Physical AI Cloud Platform
Nebius · United States, Austin, United States
USD 179,500-224,300 per year
Senior MLOps Engineer
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Engineer, AIOps and Observability
Nvidia · Santa Clara, United States
USD 200,000-322,000 per year
Principal Engineer, AI Tooling and Workflows
Nvidia · Santa Clara, United States
USD 272,000-431,200 per year
Software Engineer, Monetization ML Infrastructure
OpenAI · San Francisco, United States
USD 293,000-441,000 per year