Software Engineer, Supercomputing
Thinking Machines Lab · San Francisco
CHECKED 13H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Operate GPU supercomputing powering large-scale training and inference.
- Deliver high-performant, reliable, cost-efficient compute to move fast at scale.
- Build reliable storage paths for datasets, checkpoints, and logs with lineage.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Systems-minded builder who thrives owning large-scale infrastructure end-to-end and partnering with researchers. You care about performance, reliability, and moving fast with urgency and collaboration.
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 mindset to take initiative across stacks and teams
- 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