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Software Engineer, Accelerators

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsite$295k–$380k
Apply on the lab’s site ↗

At a glance

Highlights

  • Prototype OpenAI's software stack on new exploratory accelerator platforms.
  • Drive end-to-end optimization for large-scale training and inference.
  • Help bring up new compute platforms powering next-generation frontier models.

What they offer

  • Equity

Ideal candidate

Systems-minded builder with 3+ years in AI infrastructure who loves rapid prototyping across hardware and software. Thrives in ambiguity during early hardware bring-up and cares about efficient large-scale AI compute.

Requirements

  • 3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-design
  • Hands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures)
  • Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques
  • Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency
  • Experience with performance modeling, system debugging, and software stack adaptation for novel architectures
  • Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up
  • Interest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators
  • May need to meet certain legal status requirements under U.S. export control laws and regulations

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 ↗