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.
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