Requirements

Software engineering background, Experience with distributed systems, Infrastructure platform experience, Analytical and debugging skills

Skills

Distributed SystemsinfrastructurePerformance Engineering

Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments
Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments
Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems
Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput
Identify bottlenecks across hardware, networking, software, and workload enablement
Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity
Build dashboards, automation, and reporting systems for TaaS capacity and performance

Strong software engineering background building systems, tooling, automation, or infrastructure platforms
Experience with compute infrastructure, distributed systems, performance engineering, or production operations
Ability to reason about token throughput, utilization, benchmarking, and infrastructure efficiency
Experience integrating external systems or partner environments into internal infrastructure stacks
Strong analytical and debugging skills across hardware, networking, and software domains

Experience with GPU clusters, AI infrastructure, or workload optimization
Familiarity with model porting, inference/training workloads, or token economics
Experience building monitoring systems for billing, usage, SLAs, or infrastructure reliability
Background in systems engineering, observability, or platform engineering

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.