Software Engineer, Supercomputing
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Design and operate GPU supercomputing powering large-scale training and inference.
- Build unified interfaces and automation to help researchers move fast at scale.
- Improve speed, reliability and recovery across large-scale compute operations.
What they offer
- Health, dental and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A systems-minded builder who thrives owning complex infrastructure end-to-end and collaborating across teams. You bias to action, love reliable automation, and want to unblock frontier AI research at scale.
Requirements
- Bachelor's degree or equivalent experience in computer science, engineering or similar
- Proficiency in at least one backend language
- Experience operating large-scale clusters and container orchestration systems
- Comfort operating across the stack and owning projects end-to-end
- Thrive in highly collaborative cross-functional environment
- Bias for action with mindset to work 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
Posted · Last seen