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OpenAIOpenAISan Francisco, CA

Performance & Systems Engineer, Codex

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.

295k – 445k/yr
HybridDevOps / SRE

About the role

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.

Skills

Llm InferenceCloud OrchestrationKubernetesPerformance OptimizationMl SystemsContainer OrchestrationProfiling ToolsSystem MonitoringLatency OptimizationCost Optimization

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