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Software Engineer, Systems Generalist

Thinking Machines Lab · San Francisco · New York

CHECKED 11H AGO

Frontier labonsite$300k–$350k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build core infrastructure powering frontier AI models and products.
  • Enable researchers to accelerate experiments and ship breakthroughs.
  • Solve complex distributed systems problems across the full stack.

What they offer

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

Ideal candidate

Systems generalist who thrives owning projects end-to-end across the stack. Collaborative, action-biased engineer excited to partner with researchers to scale infrastructure enabling breakthroughs.

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 highly collaborative environment with cross-functional partners
  • Bias for action with mindset to take initiative across stacks and teams
  • Strong debugging across application, OS, and network layers
  • Experience with Kubernetes, controllers/operators, or performance profiling
  • Familiarity with GPU/ML workflows or large-scale data/eval pipelines
visa sponsorship
Visa sponsorship available

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 ↗