OpenAI→
Performance Modeling Engineer ~2 at OpenAI in San Francisco, CA
Entry LevelHybridFull-timeSan Francisco, CA$266k–$445k/yr
Skills
software engineeringsystems modelingperformance analysisprogrammingsystem architecture fundamentalssimulation toolsbenchmarkingprofilingdistributed systemsai/ml workloadsdata center systemsserver architecturehardware platformsanalytical skillslearn quicklywork effectively across technical teams
Job Description
Summary: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They are seeking a Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.
Responsibilities:
- Support the development and maintenance of performance modeling tools and frameworks
- Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems
- Help analyze distributed system scaling behavior and identify performance bottlenecks
- Run simulations and analytical models to support architecture and infrastructure decisions
- Partner with senior engineers to evaluate design tradeoffs across hardware and system components
- Interpret modeling outputs and help translate findings into clear recommendations
- Validate models using benchmarking data and real system performance measurements
- Improve modeling workflows, documentation, and usability for broader team adoption
- Collaborate cross-functionally with hardware, infrastructure, and architecture teams
- Continuously build technical depth across AI infrastructure, system architecture, and performance analysis
Required Qualifications:
- 1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work
- Strong programming skills and experience building technical tools, scripts, or frameworks
- Familiarity with system architecture fundamentals such as compute, memory, and networking
- Ability to reason about system performance, bottlenecks, and scaling behavior
- Strong analytical and problem-solving skills with comfort working in quantitative environments
- Ability to learn quickly and work effectively across technical teams
Preferred Qualifications:
- Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure
- Experience with simulation tools, benchmarking, profiling, or performance analysis
- Familiarity with data center systems, server architecture, or hardware platforms
- Interest in system architecture and hardware/software co-design
- Internship or early professional experience in performance engineering, infrastructure, or systems design
Required Skills: Software engineering, Systems modeling, Performance analysis, Programming, System architecture fundamentals, Simulation tools, Benchmarking, Profiling, Distributed systems, AI/ML workloads, Data center systems, Server architecture, Hardware platforms, Analytical skills, learn quickly, work effectively across technical teams
Benefits: Relocation assistance
Benefits
Relocation assistance