AI Systems Performance Modeling Engineer (Hybrid, Relocation)

OpenAI

California (MO)

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Relocation assistance

Job summary

OpenAI is seeking a Performance Modeling Engineer to develop tools that evaluate AI system performance and inform architectural decisions. You will work with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations, and quantify tradeoffs across compute, memory, networking, and storage.

Based in San Francisco, CA, this role uses a hybrid work model (3 days in the office per week) and offers relocation assistance.

Qualifications

Strong software engineering or modeling background.
Familiarity with system architecture fundamentals (compute, memory, networking).
Experience programming and building technical tools or frameworks.
Ability to reason about performance bottlenecks and scaling behavior.
Strong analytical skills and working with quantitative models.
Ability to collaborate across teams and learn new system domains quickly.

Responsibilities

Develop and maintain performance modeling tools and frameworks.
Build models to evaluate system behavior across compute, memory, and interconnect subsystems.
Distributed system scaling and bottlenecks analysis.
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 and translate results into actionable insights.
Validate models against real system measurements and workload behavior.