General Autonomy for Industrial Vehicles. Backed by Y Combinator.
About the role
Polymath builds autonomy software for industrial off-road vehicles — wheel loaders, haul trucks, excavators — deployed at steel mills, mines, and farm. These are different vehicles, in different operational design domains, and different customer environments. That diversity is the challenge: the only way to make bringing up autonomy on vehicle #40 faster than vehicle #4 is to treat autonomy bringup as a system you're continuously improving instead of a checklist re-run by hand every time.
What they're looking for
- Strong in one or more of: C++, Python, ROS/ROS2, systems architecture, or test automation frameworks
- Prior hands-on experience with robots or autonomous systems — not simulation-only
- Evidence you've automated or systematized a manual process before, on any team, in any language
- Comfortable being the person who flags a fragile pattern before it becomes a recurring failure
- Comfortable communicating directly with clients and integrators — aligning on requirements, explaining what the system can and can't do today, and translating customer intent into engineering criteria
- Excellent written communication — you'll be documenting test coverage, handoff criteria, technical proposals, and integration improvements
More about this role
Polymath builds autonomy software for industrial off-road vehicles — wheel loaders, haul trucks, excavators — deployed at steel mills, mines, and farm. These are different vehicles, in different operational design domains, and different customer environments. That diversity is the challenge: the only way to make bringing up autonomy on vehicle #40 faster than vehicle #4 is to treat autonomy bringup as a system you're continuously improving instead of a checklist re-run by hand every time.
We're looking for someone who is passionate about automation, treats every manual step as an opportunity to improve the process, and can move fluidly between robotics fundamentals (perception, controls, navigation) and the systems-design thinking that makes those fundamentals scale across vehicle types and environments. Every week, everyone on this team answers — what did you find that was slow, unclear, or manual, and what did you fix or automate. Individually small. Compounded across a team working on many programs, it's the difference between bringup staying a bottleneck or becoming a solved problem.
Own vehicle bringup end-to-end across all three phases — simulation (vehicle model, HAL...
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