A small, deeply technical AI infra startup in San Francisco, building the platform that next-gen AI apps will run on - think custom compilers, CUDA kernels, and distributed orchestration are looking for a Software Engineer to join their team.
What will I be doing?
As a Software Engineer you’ll help architect and build the infrastructure powering the next generation of AI systems. You’ll work across the stack on:
- High-performance, distributed systems that support real-time AI workloads
- Kubernetes orchestration, infra tooling, and automation pipelines
- Low-level runtime components like custom compilers and CUDA kernels
- Scalable, reliable backend services
- Collaborating directly with the founding team on technical strategy and core architecture
What are we looking for?
- Strong background in systems programming, backend, or infra engineering
- Experience with distributed systems, container orchestration, and Linux internals
- Comfortable working across multiple layers of the stack, from low-level code to infra ops
- Fast learner who thrives in ambiguous, high-agency environments
- Bonus: Experience with compilers, CUDA, or ML infrastructure
What’s in it for me:
- $170–220k base + 0.2–0.5% equity
- Work directly with deeply technical founders (ex-Stanford, Google, and more) on some of the hardest problems in AI infra
- On-site in San Francisco
- Stealth startup with serious backing, operating lean and hiring intentionally
Apply now for immediate consideration!
