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Software Engineer, Systems Generalist

Thinking Machines Lab · San Francisco · New York

Frontier labonsite$300k–$400k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build core systems powering frontier foundation models and products.
  • Work directly with researchers to accelerate experiments and insights.
  • Scale reliable infrastructure that enables breakthroughs across models and data.

What they offer

  • generous health, dental, and vision benefits
  • unlimited PTO
  • paid parental leave
  • relocation support as needed

Ideal candidate

A collaborative systems generalist who thrives owning projects end-to-end and takes initiative across teams. You care about robust infrastructure as the bedrock for AI breakthroughs and research velocity.

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 involving many different cross-functional partners and subject matter experts
  • A bias for action with a mindset to take initiative across different stacks and teams to make sure something ships
visa sponsorship
We sponsor visas

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 ↗

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