About the role
Gritt is developing physical AI to automate the construction of large-scale infrastructure around the globe. Gritt’s systems are already deployed commercially in difficult outdoor environments, and are helping to build critical energy infrastructure. The founding team comprises experts in robotics and AI from Carnegie Mellon, Stanford and MIT. Gritt is a Series A company backed by marquee VCs. Role: Robotics System Test Engineer Location: SF Bay Area (in-person)
About
the role We are looking for a Robotics System Test Engineer to own how we prove our robots are ready, across both the autonomy software and the physical machine. This is not a siloed QA role. You will work at the intersection of perception, planning, controls, and hardware, and you will spend real time outdoors: most of your testing happens in the yard behind our office, where our robots run in genuine sun, wind, dust, and temperature. You will define the test strategy, build the automation and fixtures that catch regressions before they ship, and lead full-system test campaigns on heavy machines. Your work directly determines whether a one-ton robot is trusted to operate autonomously and whether it does so safely around the people testing it. What you’ll get to work on Own the test strategy for the autonomy stack across perception, planning, manipulation, and the models that run locally on every robot. Define quantitative acceptance criteria for pick-and-place accuracy, cycle time, model performance, safety behavior, and hold releases to them. Lead root-cause analysis on failures that span perception, software, controls, and hardware. Plan and run full-system test campaigns on heavy (~1,000 lb) robots in our yard, across real weather, lighting, dust, and temperature. Design and build mechanical and electrical test fixtures and instrumentation that make results measurable and repeatable. Execute the full range of testing including exploratory and characterization on prototypes, performance and reliability testing, and end-to-end verification against formal
