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About the Role
Software Engineer to interface between research and infrastructure, making critical ML systems decisions and providing hands-on support during high-stakes operations.
Responsibilities
- Debug across the full stack (kernel, NCCL, scheduler, application, telemetry) to find root causes.
- Provide embedded, hands-on support during hero runs and major incidents.
- Serve as the point of contact for researchers when issues arise.
- Lead postmortems and develop preventative tooling.
- Mentor other engineers in cross-stack technical breadth.
Requirements
- Credible, hands-on competence in 4 or more of the following: Linux kernel, networking, GPUs / CUDA, distributed systems runtimes, storage, compilers / language runtimes, observability internals.
- Comfort operating without a clearly defined owner.
- Judgment to know when to dig in versus when to escalate.
- Track record of being the person other engineers escalate to, across 2+ companies.
- Shipped meaningful contributions in 3+ distinct technical stacks.
- Track record of leading major incidents where the root cause was non-obvious.
- Researcher-facing comfort: ability to communicate effectively with researchers and make sound decisions regarding their workloads.
- Experience operating at the scale of frontier training or inference clusters.
- Appetite for owning the hardest, least-defined problems in the stack.
Skills
- Linux kernel
- Networking
- GPUs / CUDA
- Distributed systems runtimes
- Storage
- Compilers / language runtimes
- Observability internals
- Debugging
- Incident management
- Mentoring
- Communication
Location
- San Francisco, CA
Work Type
- Onsite
Experience Level
- Mid-level
- Senior
Salary/Compensations
- $350,000 – $475,000 USD
Benefits
- Equity
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support
About the Company
- The mission of Thinking Machines is to build AI that extends human will and judgment.
- We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication.
- We believe the future worth building is human, and we're hiring people who want to build it.