Used Tools & Technologies
Machine LearningRequired Skills & Competences
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.
Distributed Systems @ 3
Hiring @ 3
Networking @ 3
System Architecture @ 2
AI @ 3
Profiling @ 3
Performance Analysis @ 6
- 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
OpenAI's Hardware organization develops system and infrastructure solutions for advanced AI workloads. The Scaling team builds and applies performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design.
About the Role
You will develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. Work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and quantify tradeoffs across compute, memory, networking, and storage. Contribute to building modeling frameworks and apply them to real-world questions that impact system design and vendor decisions. This role is based in San Francisco, CA with a hybrid work model (3 days in the office per week) and offers relocation assistance.
Responsibilities
- Develop and maintain performance modeling tools and frameworks.
- Build models to evaluate system behavior across compute, memory, and interconnect subsystems, and analyze distributed system scaling and bottlenecks.
- Run simulations and analytical models to support architectural tradeoff analysis.
- Collaborate with performance modeling lead and system architects to answer forward-looking design questions.
- Analyze and interpret modeling outputs, translating results into actionable insights.
- Validate models against real system measurements and workload behavior.
- Contribute to improving modeling fidelity, usability, and scalability.
Qualifications
- Strong software engineering or modeling background (simulation, systems modeling, or performance analysis).
- Familiarity with system architecture fundamentals (compute, memory, networking).
- Experience with programming and building technical tools or frameworks.
- Ability to reason about performance bottlenecks and scaling behavior.
- Strong analytical skills and comfort working with quantitative models.
- Ability to collaborate across teams and learn new system domains quickly.
Preferred Skills
- Exposure to AI/ML workloads or distributed systems.
- Experience with simulation tools, performance modeling, or systems analysis.
- Familiarity with data center infrastructure or large-scale systems.
- Experience working with performance data, benchmarking, or profiling tools.
- Interest in system architecture and hardware/software co-design.
About OpenAI
OpenAI is an AI research and deployment company focused on ensuring general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, diverse perspectives, and equal opportunity hiring. Background checks will be administered in accordance with applicable law.
Benefits
- Medical, dental, and vision insurance with employer HSA contributions.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) with employer match.
- Paid parental, medical, and caregiver leave.
- Flexible PTO and paid company holidays/closures.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits (charitable donation matching, wellness stipends) and equity/bonus opportunities.