Mind Robotics builds intelligent, broadly capable robots for industrial deployment in high-impact environments. Backed by Accel, Kleiner Perkins and a16z.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Systems Engineering, Robotics, or equivalent experience
- 5+ years in systems engineering on complex electromechanical, robotic, or autonomous products, including at least one product taken through to field deployment
- Demonstrated experience writing, decomposing, and managing requirements — making high-level system behaviors measurable and testable, with traceability from requirement to design to verification
- Hands-on experience with hazard and risk analysis (DFMEA/FMEDA, HARA, FTA) and turning the results into requirements and test cases
- Working knowledge of functional safety standards and concepts (IEC 61508, ISO 13849, IEC 62061, ISO 26262, or similar)
- Strong hardware and software fundamentals — able to bridge electrical schematics, embedded communication protocols, and firmware architecture, and to debug system-level issues alongside integration and firmware engineers
More about this role
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...
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