Hybrid Performance Modeling Engineer - Relocation Available

OpenAI; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model (3 days in office)

Relocation assistance

Job summary

OpenAI’s Hardware organization seeks a Performance Modeling Engineer to develop and apply modeling tools for AI system performance. You will analyze behavior, run simulations, and help evaluate tradeoffs across compute, memory, networking, and storage to guide architecture decisions.

This role is based in San Francisco, CA, with a hybrid work model (3 days in the office per week) and relocation assistance to support candidates joining the team.

Qualifications

• 1–2 years of experience in software engineering, systems analysis, or performance modeling.
• Interest in growing in large-scale infrastructure and hardware/software systems.

Responsibilities

• Develop and maintain performance modeling tools and frameworks.
• Build models to evaluate system behavior across compute, memory, networking, and interconnect subsystems.
• 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 translate findings into clear recommendations.

Skills

Performance modeling

Software engineering

Systems analysis

Job description

OpenAI’s Hardware organization seeks a Performance Modeling Engineer to develop and apply modeling tools for AI system performance. You will analyze behavior, run simulations, and help evaluate tradeoffs across compute, memory, networking, and storage to guide architecture decisions.

This role is based in San Francisco, CA, with a hybrid work model (3 days in the office per week) and relocation assistance to support candidates joining the team.