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, and reasoning-intensive 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.
What they're looking for
- Degree in Computer Engineering, Electrical Engineering, Mechanical Engineering, or equivalent experience
- 2+ years in systems engineering or a cross-disciplinary hardware role involving complex electromechanical or robotic products
- Strong hardware and software fundamentals — able to bridge electrical schematics, embedded communication protocols, and firmware architecture, comfortable with a scope and multimeter during bring-up
- Experience defining requirements from high-level system behaviors and making them measurable and testable, able to write scripts or tooling to improve bring-up and validation efficiency
- Proficient in data analysis and visualization — able to instrument systems, extract signal from noisy hardware data, and communicate findings clearly across mechanical, electrical, and software teams
- You are comfortable with ambiguity, move fast, and have an "engineering curiosity" that drives you to understand how the entire system works, not just your part
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, and reasoning-intensive 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 integration across the robot — from decomposing high-level behaviors into measurable specs, to debugging the hard interactions that only surface when everything is running together. You'll collaborate with hardware and firmware teams on system architecture, and define and own the specs for how the robot behaves. You'll be on the bench as much...
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