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Jobs/San Francisco/Performance & Systems Engineer, Codex
San Francisco, CA

Performance & Systems Engineer, Codex

About the Team The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-wor

Company
OpenAI
Compensation
$295K - $445K
Schedule
Full-Time
Role overview

What this role actually needs.

About the Team The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-wor Responsibilities: - Hunt down and address inefficiencies across the Codex system stack, from agent behavior to LLM inference to container orchestration, and beyond. - Build tooling to measure, profile, and optimize system performance at scale. - Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost. - Have experience operating across both ML systems and cloud infrastructure. - Enjoy diving into messy, ambiguous problems and emerging with clear wins. - Think holistically about performance, balancing speed, cost, and user experience. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Performance & Systems Engineer, Codex role.

  • Hunt down and address inefficiencies across the Codex system stack, from agent behavior to LLM inference to container orchestration, and beyond.
  • Build tooling to measure, profile, and optimize system performance at scale.
  • Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost.
  • Have experience operating across both ML systems and cloud infrastructure.
  • Enjoy diving into messy, ambiguous problems and emerging with clear wins.
  • Think holistically about performance, balancing speed, cost, and user experience.
UpJobz market context

Why this listing is more than a copied job post.

Performance & Systems Engineer, Codex is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

$295K - $445K is visible before the click, so candidates can compare the role against local market expectations before applying.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to performance & systems engineer, codex is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceOn-siteaillmmachine-learningresearch

Watchouts

  • $295K - $445K is visible, so calibrate your application around the posted range.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmmachine-learningresearchawssecurityuxapipythoninfrastructure
Next step

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Source: jobs.ashbyhq.com Β· Source ID: 8a9d680c-5122-4ffe-ab4b-e1de7e806500 Β· Confidence: 97/100 Β· Last checked: May 7, 2026

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