Technical Program Manager, Supercomputing
Thinking Machines Lab · San Francisco
CHECKED 13H AGO
Frontier labonsite
At a glance
Highlights
- Own compute allocation for frontier AI supercomputing resources.
- Investigate utilization gaps to boost productive use of compute.
- Translate research priorities into practical allocation decisions.
What they offer
- Health, dental, and vision coverage
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
You love technical tradeoffs under uncertainty and helping researchers reason through constraints. Collaborative and detail-oriented, you teach through real work and own difficult allocation decisions with sound judgment.
Requirements
- Experience making consequential resource allocation or capacity decisions in a complex computing environment
- Strong technical understanding of distributed systems, machine learning infrastructure, or high-performance computing
- Demonstrated ability to improve useful output from limited resources
- Ability to teach complex technical ideas through clear explanations and practical examples
- Comfort investigating usage and performance data directly, questioning assumptions
- Sound judgment when teams have competing priorities
- A hands-on, collaborative approach with strong attention to detail and follow-through
- visa sponsorship
- We support visa sponsorship and work with candidates through the process.
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