Software Engineer, Infrastructure - Core Experimentation

The role

You will build and scale foundational systems for OpenAI's experimentation and rollout platform. This includes working on distributed control planes, SDKs, ingestion pipelines, and analytics foundations.

What you will do

• Design and operate low-latency configuration delivery systems.
• Scale SDK, server-side evaluation, and control-plane systems.
• Build high-throughput data ingestion and analytics infrastructure.
• Improve performance, efficiency, reliability, and observability of core Statsig infrastructure.
• Optimize query performance, data freshness, and data availability.
• Strengthen operational excellence through SLOs, alerting, and incident response.
• Partner with teams across ChatGPT, Codex, and other product surfaces.
• Lead large technical initiatives and shape architecture.

Required qualifications

• Experience building large-scale distributed systems with strict performance, availability, and correctness requirements.
• Experience with low-latency systems work including real-time configuration delivery, SDK/runtime performance, caching, concurrency, and high-throughput service design.
• Experience building or operating large-scale data platforms, event pipelines, analytics systems, or query infrastructure.

Nice to have

• Care deeply about reliability, observability, incident response, capacity planning, and the practical craft of keeping critical production systems boring.

Benefits

• Relocation assistance

Before you apply

• Background checks for applicants will be administered in accordance with applicable law.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The Statsig team within OpenAI owns the experimentation, rollout, dynamic configuration, and analytics infrastructure.