Performance & Systems Engineer, Codex
Core
Optimizing the performance, latency, and cost of a complex AI system stack for code generation and agentic reasoning products.
Role type
Senior IC performance & systems engineer (LLM inference & cloud infrastructure)
Builds
High-leverage changes across infrastructure, modeling, and product layers to improve system speed and cost efficiency.
Domain
AI/ML systems, cloud infrastructure, agentic work management
Deliverable
production ML models | infrastructure
Required skills
LLM inference optimization, cloud orchestration, system profiling, container orchestration, latency reduction, cost optimization, cross-stack debugging
Preferred skills
Ambiguity navigation, holistic performance thinking, tooling development
Technologies
LLM inference engines, cloud orchestration platforms, container orchestration tools
Responsibilities
Identify and resolve inefficiencies across the system stack from agent behavior to inference to orchestration; Build tooling to measure, profile, and optimize system performance at scale; Collaborate with researchers and engineers to implement high-ROI changes improving latency and cost.
Seniority
Senior, hands-on IC
