Technical Program Manager, Supercomputing
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Own compute allocation for frontier AI supercomputing resources.
- Translate research priorities into practical allocation decisions.
- Help teams close the gap between allocated resources and useful work.
What they offer
- Health, dental, and vision coverage
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
You enjoy making high-stakes tradeoffs under uncertainty and thrive at the intersection of research and infrastructure. You're a clear teacher who helps others reason through constraints and use limited supercomputing capacity well.
Requirements
- Experience making consequential resource allocation or capacity decisions in a complex computing environment with ownership of tradeoffs and outcomes
- 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 and changing views based on evidence
- Sound judgment with competing priorities, earning trust and working through disagreement
- 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
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