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OpenAIOpenAISan Francisco, CA

Software Engineer, Platform Systems

Designs and builds distributed failure detection, tracing, and observability systems for large-scale AI training jobs. Requires deep expertise in performance, distributed systems, hardware, networking, and low-level software engineering.

310k – 460k/yr
On-siteDevOps / SRE

About the role

In This Role, You Will

  • Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs
  • Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior
  • Improve observability, reliability, and performance across OpenAI’s training platform
  • Debug and resolve issues in complex, high-throughput distributed systems
  • Collaborate with systems, infrastructure, and research teams to evolve platform capabilities
  • Extend and adapt failure detection systems or tracing systems to support new training paradigms and workloads

You Might Thrive in This Role If You

  • Care deeply about performance, stability, and observability in distributed systems
  • Enjoy finding and fixing issues in large-scale systems and automating operational workflows
  • Have experience writing low-level software where system details matter
  • Understand hardware, operating systems, networking, concurrency, and distributed systems
  • Have a background in high-performance computing or low-level systems engineering
  • Are excited to work on critical infrastructure that powers frontier AI research

Skills

Distributed SystemsFailure DetectionTracingProfilingObservabilityHigh-Performance ComputingNetworkingConcurrencyLinuxC++

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