Compute Optimization Researcher/engineer

OpenAI

San Francisco, California, United States
Remote
Linear programming and mixed-integer optimization
Python proficiency with sql and pandas
Mathematical modeling for capacity planning
The role involves building systems that maximize the value of OpenAI's global compute capacity through advanced optimization and forecasting

Job Summary

  • The role involves building systems that maximize the value of OpenAI's global compute capacity through advanced optimization and forecasting.
  • Candidates will partner with architecture, finance, and operations teams to translate business needs into scalable mathematical models.
  • OpenAI offers a hybrid work model requiring three days in the office per week along with relocation assistance.

Matching Summary

The role involves building systems that maximize the value of OpenAI's global compute capacity through advanced optimization and forecasting.

Skills & Requirements

Must-have

  • Linear programming and mixed-integer optimization
  • Python proficiency with SQL and Pandas
  • Mathematical modeling for capacity planning

Nice-to-have

  • Experience with Gurobi or CPLEX solvers
  • Background in GPU fleet optimization
  • Ability to influence cross-functional stakeholders

Key Requirements

  • Doctorate degree in Computer Science, Engineering, Mathematics, or Operations Research
  • 5+ years of experience in optimization, planning, or systems engineering
  • Strong analytical problem-solving skills in ambiguous environments

Work Rights

Not specified

Tailored Resume

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