Software Engineer, Data Infrastructure

About this role

Build and operate large-scale data infrastructure systems powering OpenAI's products and research. Own the full lifecycle of distributed compute, storage, streaming, and orchestration platforms designed to handle exabyte-scale workloads with reliability and security.

What you'll do

• Design, build, and maintain distributed compute, storage, and streaming infrastructure systems
• Scale data platforms to handle orders of magnitude growth while maintaining reliability and efficiency
• Collaborate with product, research, and analytics teams to enable new capabilities and features
• Participate in on-call rotation and ensure system reliability in production
• Empower engineers with robust data tooling and platforms
• Debug and optimize large-scale distributed systems for performance

What they're looking for

• Distributed systems and infrastructure engineering (4+ years)
• Data infrastructure platforms (Spark, Kafka, Flink, Airflow, Trino, or Iceberg)
• Infrastructure tooling (Terraform)
• Debugging complex distributed systems
• Scalable storage and compute architecture
• ML infrastructure and feature engineering
• Streaming systems design
• Data governance and security

Benefits

• Hybrid work model (3 days onsite per week)
• San Francisco-based role with relocation assistance
• Work on foundational systems powering AI research and products
• Collaborate with world-class research and engineering teams
• Opportunity to shape next-generation data infrastructure