Owns the system requirements and architecture baseline for an industrial physical-AI robot, decomposing high-level behaviors into measurable subsystem specs with traceability through verification. Leads system-level hazard analysis (DFMEA, HARA, FTA) and safety requirement allocation, and drives readiness reviews and field validation. Works across firmware, controls, mechanical, electrical, and integration teams; requires 5+ years of complex electromechanical or robotic systems experience.
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
At Mind Robotics, we're building generalized physical AI — robotic systems capable of dexterous, adaptive, reasoning-intensive and most importantly safe work in real-world industrial environments. Systems engineering is the discipline that holds it all together: translating mission requirements into hardware reality and ensuring every subsystem behaves as a coherent whole.
We're looking for a Systems Engineer to own the requirements and architecture baseline for the robot — from decomposing high-level behaviors into measurable, traceable specs, to making sure the system and its safety requirements hold together from concept through field deployment. You'll define how the robot is supposed to behave, how we prove it, and what "ready to ship" means, working alongside software, mechanical, electrical, and integration teams.