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Compute Optimization Researcher/Engineer

  • Full Time
  • Anywhere

About OpenAI

  • Founded 2020

OpenAI

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

Originally posted on Himalayas

To apply for this job please visit himalayas.app.

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