Network Engineer, Supercomputing
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Own the lowest network layers behind large-scale training and inference.
- Make researchers trust the fleet without worrying about the fabric.
- Build instrumentation that makes the next debugging session dramatically faster.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Hands-on, bias-for-action engineer who loves owning ambiguous cross-stack problems end-to-end and collaborating widely to keep large fleets reliable for researchers.
Requirements
- Bachelor's degree or equivalent experience in computer science, engineering, or similar
- Proficiency in at least one backend language (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
- We sponsor visas - committed to working through the visa process together
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
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