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Software Engineer, Infrastructure

Thinking Machines Lab · San Francisco · New York

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

At a glance

Highlights

  • Design and operate distributed systems for large-scale model training and serving.
  • Build training clusters for frontier models and multi-tenant serving for Tinker.
  • Own foundational infrastructure that helps research and product teams iterate fast.

What they offer

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

Ideal candidate

Infrastructure-minded engineer who loves owning large-scale distributed systems end-to-end and thrives with high autonomy, turning complex research needs into reliable platforms that accelerate AI progress.

Requirements

  • Demonstrated expertise designing and developing large-scale distributed systems
  • Strong proficiency in Python and Go
  • Experience building, deploying, and operating production infrastructure at scale
  • Solid grounding in distributed systems fundamentals, such as consensus, consistency, fault tolerance, and networking
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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 ↗

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