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techroles

Software Engineer, Inference - Performance Optimization

OpenAI openai.com Open · verified Oct 24, 2026
San Francisco Full-time Mid-level Software Engineering

At a glance

Mid-level Software Engineering role at OpenAI. San Francisco · full-time · $266,000–$500,000 base.

SalaryStated by OpenAI
$266,000 – $500,000
Base salary for this role, in USD per year, as published in the posting.
This role, from OpenAIOur estimate for the market: $169,488–$240,000Median $200,000
Above the market median of $200,000 for mid-level software engineering roles in San Francisco.
Worked out from 212 postings that stated pay, median $200,000. Last updated Oct 24, 2026.
RoleSoftware Engineering
SeniorityMid-level
LocationSan Francisco
EmploymentFull-time
Base pay$266,000–$500,000
PostedApr 25, 2026 · 6mo ago
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Build models that turn microbenchmark results into estimates of inference serving costs
  • Trace workloads through applications, models and fleet infrastructure to find where performance is spent
  • Improve tools that surface latency and throughput bottlenecks across inference layers
  • Work with engineering and research teams to apply performance findings and forecast the effects of future changes

What you bring

  • Deep experience profiling, benchmarking, analyzing and optimizing system performance
  • Comfort working across application behavior, kernels, accelerators, networking and fleet scheduling

Who this fits

This role suits a mid-level software engineer who enjoys first-principles analysis of distributed systems, model inference and hardware efficiency. It is based in San Francisco.

From the employer

About the Team
Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches.

About the Role
In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs.

In this role, you will
Build and refine performance models that translate microbenchmark results into cost-to-serve estimates.
Analyze inference workloads end to end across applications, models, and fleet infrastructure. Enhance tooling to identify bottlenecks across layers for latency and throughput.
Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference.

You might thrive in this role if you:
Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency.
Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling.
Have deep expertise with performance profiling, benchmarking, analysis, and optimization.
Enjoy collaborating with engineering and research teams to improve real production systems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$260k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.