We are seeking a Compute Optimization Researcher/Engineer to build systems that maximize the value of OpenAI’s global compute capacity. The role involves high-impact optimization problems spanning capacity allocation, demand forecasting, cluster planning, workload placement, and infrastructure utilization. The team is based in San Francisco, CA and uses a hybrid work model.
Requirements
- Doctorate degree in Computer Science, Engineering, Mathematics, Operations Research, Economics, or related field.
- 5+ years of experience in optimization, planning, infrastructure analytics, or systems engineering.
- Strong experience with linear programming, mixed-integer optimization, convex optimization, simulation, or forecasting methods.
- Proficiency in Python and data tooling (SQL, Pandas, Spark, etc.).
- Experience translating real-world business constraints into scalable optimization systems.
- Strong analytical problem-solving skills with comfort operating in ambiguous environments.
- Ability to influence cross-functional stakeholders without formal authority.
- Excellent communication skills with both technical and non-technical audiences.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Relocation Assistance
