3 months ago

Performance & Systems Engineer, Codex

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Performance-focused engineer to optimize the Codex system stack across ML inference, cloud orchestration, and product surfaces. You’ll land high-leverage changes to speed up Codex agents while reducing cost, collaborating with researchers and engineers in a hybrid San Francisco role with relocation support.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key 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.
•Help improve overall performance across infrastructure, modeling, and product surfaces to make Codex faster and cheaper to serve.
•Support holistic optimization that balances speed, cost, and user experience.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Equity and Bonus:Equity

Perks:EquityRelocation

Key Requirements

•Experience operating across both ML systems and cloud infrastructure.
•Ability to identify bottlenecks and land high-ROI changes across infrastructure, modeling and product layers.
•Comfort working in ambiguous environments and delivering clear wins.
•Strong ownership mentality with focus on performance, latency, and cost trade-offs.
•Wamiliarity with end-to-end system optimization and profiling tools.

Experience:Artificial intelligenceMachine learningResearch

Skills:Problem-solvingCommunicationCollaboration

Tech Stack:LLMCloudContainer orchestrationDockerKubernetes

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

3 months ago

Performance & Systems Engineer, Codex

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key 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.
•Help improve overall performance across infrastructure, modeling, and product surfaces to make Codex faster and cheaper to serve.
•Support holistic optimization that balances speed, cost, and user experience.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Equity and Bonus:Equity

Perks:EquityRelocation

Key Requirements

•Experience operating across both ML systems and cloud infrastructure.
•Ability to identify bottlenecks and land high-ROI changes across infrastructure, modeling and product layers.
•Comfort working in ambiguous environments and delivering clear wins.
•Strong ownership mentality with focus on performance, latency, and cost trade-offs.
•Wamiliarity with end-to-end system optimization and profiling tools.

Experience:Artificial intelligenceMachine learningResearch

Skills:Problem-solvingCommunicationCollaboration

Tech Stack:LLMCloudContainer orchestrationDockerKubernetes

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor