Software Engineer, Platform Systems

at OpenAI
USD 310,000-460,000 per year
MIDDLE
✅ On-site
✅ Relocation

Tech Stack

AI @ 3 Distributed Systems @ 6 HPC Networking @ 3 Observability @ 3 Profiling

Details

The Platform Systems team operates at the intersection of cutting-edge AI and large-scale distributed systems. The team builds engineering and research infrastructure for training flagship models on large, custom-built supercomputers. Its work spans collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability.

The role involves designing and building distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. The engineer will work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs.

Responsibilities

  • 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 the 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 or tracing systems to support new training paradigms and workloads.

Requirements

  • Strong interest in performance, stability, and observability in distributed systems.
  • Experience finding and fixing issues in large-scale systems and automating operational workflows.
  • Experience writing low-level software where system details matter.
  • Understanding of hardware, operating systems, networking, concurrency, and distributed systems.
  • Background in high-performance computing or low-level systems engineering.
  • Interest in working on critical infrastructure that powers frontier AI research.

Benefits

  • Base salary plus equity, performance-related bonuses for eligible employees, and benefits.
  • Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for health, dependent care, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, and caregiver leave.
  • Paid time off, company holidays, office closures, and paid sick or safe time.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily office meals and eligible meal delivery credits.
  • Relocation support for eligible employees.

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