Reliability Engineer, Supercomputing
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Own reliability for GPU supercomputing fleet powering frontier AI research.
- Diagnose hardware faults down to root cause and drive vendor fixes.
- Automate fleet health monitoring and validate firmware improvements.
What they offer
- Health, dental and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support
Ideal candidate
A hands-on systems thinker who loves chasing elusive hardware faults and thrives across teams. You take ownership end-to-end and care about keeping frontier research running reliably at scale.
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 initiative to work across stacks and teams to ship
- 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
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