Pantograph is training general models that start by watching internet-scale video and end up on robots. We think the path to capable robots runs through general intelligence rather than narrow, robot-specific skills. We're scaling simple methods across video games, real-world video, and our own fleet of affordable, durable robots.
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.