Job Description

Software Engineer - AI Infra Startup - San Francisco, CA

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:

• up to $300k base dependent on experience + 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!

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