# Performance & Systems Engineer, Codex

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $295k – $445k/yr
**Skills:** Llm Inference, Cloud Orchestration, Kubernetes, Performance Optimization, Ml Systems, Container Orchestration, Profiling Tools, System Monitoring, Latency Optimization, Cost Optimization
**Posted:** 2026-05-01

> Optimizes performance across Codex AI system's stack including LLM inference, cloud orchestration, and agent behavior to reduce latency and costs. Collaborates with researchers and engineers on high-impact improvements in a high-ownership role.

## Job Description

## 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.

## Requirements
- 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.

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**Canonical:** https://hotfix.jobs/jobs/6e2f7320-b90d-4dd7-b3de-227062aa5f7f