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Software Engineer, Supercomputing

Thinking Machines Lab · San Francisco

CHECKED 13H AGO

Frontier labonsite$350k–$475k
Apply on the lab’s site ↗

At a glance

Highlights

  • Operate GPU supercomputing powering large-scale training and inference.
  • Deliver high-performant, reliable, cost-efficient compute to move fast at scale.
  • Build reliable storage paths for datasets, checkpoints, and logs with lineage.

What they offer

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

Systems-minded builder who thrives owning large-scale infrastructure end-to-end and partnering with researchers. You care about performance, reliability, and moving fast with urgency and collaboration.

Requirements

  • Bachelor's degree or equivalent experience in computer science, engineering, or similar
  • Proficiency in at least one backend language (we use Python or Rust)
  • Experience operating large-scale clusters and container orchestration systems (e.g. Kubernetes or Slurm)
  • Comfort operating across the stack and owning projects end-to-end
  • Thrive in a highly collaborative environment with cross-functional partners
  • Bias for action with mindset to take initiative across stacks and teams
visa sponsorship
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Lab profile

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗