OpenAI
Performance Modeling Engineer ~2
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 5 months ago · Added 4 days ago
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$347,000 to $445,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Seattle, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Seattle, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About the Team
OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.
Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design.
About the Role
We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.
In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure.
This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.
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
Requirements
- ·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
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$347,000 to $445,000 · You'll be taken to the employer's careers page.