Infrastructure & Systems Lead
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Role details
Tech stack
Requirements
- 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.
About the company
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.
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