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Cota Robotics is seeking a robotics-focused engineer to build and deploy manipulation and navigation policies on real robots operating in live stores. You will balance learned control with classical planning and perception, choosing the right approach for each problem and owning outcomes from observation to shipped behavior.
The role requires comfort with fast-paced environments and the ability to operate with chaos while delivering robust autonomous behavior in retail settings.
You’ll build the autonomy that lets our robots work shelves and pallets in live stores. We care about what works in a store at 6am, not what wins a benchmark, and that usually means combining learned policies with classical methods rather than picking a side.
Develop and deploy manipulation and navigation policies on real robots in real stores
Work with VLAs and modern learned control alongside classical planning, perception, and control
Decide which approach fits which problem, and be right about it often enough
Own problems from store observation to shipped behavior
Well versed in robotics broadly, with hands-on experience on real robots
Clear on the tradeoffs between classical and learned approaches
A fast learner who can define the problem before solving it
Comfortable with chaos and speed
Work on practical autonomy problems in live retail environments
Build systems that ship to stores, not just demos or benchmarks
Influence technical direction early
Take meaningful ownership in a fast-moving team