# Performance Modeling Engineer ~2

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA, Seattle, WA
**Role:** DevOps / SRE
**Salary:** $266k – $445k/yr
**Experience:** 1+ years
**Skills:** Python, Performance Modeling, Simulation Tools, Benchmarking, System Architecture, Distributed Systems, Ai/Ml Workloads, Networking, Memory Systems, Compute Systems
**Posted:** 2026-04-20

> Develop and maintain performance modeling tools to analyze AI system behavior, evaluate tradeoffs in compute, memory, networking, and storage. Requires 1-2 years experience in software engineering or systems analysis, strong programming, and analytical skills.

## Job Description

## Key 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

## 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 Skills
- 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

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