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Software Engineer, AI accelerator Runtime

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremote$266k–$445k
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At a glance

Highlights

  • Build low-level device runtime for OpenAI's custom AI accelerator silicon.
  • Use cycle-accurate simulation to validate runtime before silicon exists.
  • Turn compiled programs into efficient execution for frontier AI systems.

What they offer

  • Equity

Ideal candidate

Low-level systems builder who thrives at the hardware-software boundary, obsessed with concurrency, performance and correctness, and energized by co-designing next-gen silicon with cross-functional teams.

Requirements

  • Have strong low-level systems programming experience in C, C++, Rust, or comparable environments.
  • Have built runtimes, drivers, firmware, operating-system components, accelerator software, or adjacent systems infrastructure.
  • Understand concurrency, synchronization, asynchronous execution, queues, events, and memory-ordering semantics.
  • Understand memory management, address spaces, DMA, caching, coherency, and hardware-software interfaces.
  • Have hands-on experience with event-based, cycle-accurate simulators or closely related architectural and performance models.
  • Can reason quantitatively about scheduling, latency, throughput, utilization, contention, and resource tradeoffs.
  • Are skilled at debugging failures that span software abstractions, device interfaces, and hardware behavior.
  • Work effectively across compiler, kernel, architecture, verification, firmware, and silicon teams.

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗