We're looking for someone to architect and own the entire infrastructure pipeline behind that fleet: thousands of robots with embedded GPUs, communicating over wifi to inference clusters, streaming tens of petabytes of video to training clusters, with new model weights deployed every few minutes - all operating within strict real-time latency budgets. This role requires someone who can hold an entire system in their head and optimize it end-to-end. You'll touch networking, storage, databases, embedded software, deployment systems, and GPU optimization - and you'll own the architecture decisions that tie them together. You might be a good fit if you have: - Designed and operated large-scale distributed systems from scratch - Managed fleets of hundreds or thousands of computers - Deep experience with GPU performance optimization, including writing custom CUDA kernels - Worked on real-time embedded systems or robotics infrastructure - Built petabyte-scale storage and database systems - Experience with high-performance networking and video encoding pipelines Nice to have: - Rust and low-level performance optimization experience - Experience taking infrastructure from prototype to production in a small team We care much more about what you've built than any specific credential. We're a small, fast-moving team working together in person in San Francisco. If you're excited about architecting novel systems at unprecedented scale, we'd love to talk.