Software Engineer, Systems Generalist
Thinking Machines Lab · San Francisco · New York
CHECKED 11H AGO
Frontier labonsite$300k–$350k
At a glance
Highlights
- Build core infrastructure powering frontier AI models and products.
- Enable researchers to accelerate experiments and ship breakthroughs.
- Solve complex distributed systems problems across the full stack.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Systems generalist who thrives owning projects end-to-end across the stack. Collaborative, action-biased engineer excited to partner with researchers to scale infrastructure enabling breakthroughs.
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 highly collaborative environment with cross-functional partners
- Bias for action with mindset to take initiative across stacks and teams
- Strong debugging across application, OS, and network layers
- Experience with Kubernetes, controllers/operators, or performance profiling
- Familiarity with GPU/ML workflows or large-scale data/eval pipelines
- visa sponsorship
- Visa sponsorship available
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