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. Integration is where it all comes together: the moment mechanical, electrical, firmware, controls, and software stop being separate subsystems and have to behave as one robot.
We're looking for a System Integration Engineer to own bring-up and debug across the robot — from first power-on of a new subsystem to the hard interactions that only surface when everything is running together. You'll be on the bench as much as at a keyboard, working at the intersection of mechanical, electrical, firmware, controls, and software to get every build from first prototype to a robot that works reliably in the field.
Lead bring-up of new subsystems and full-robot builds and assist with validation, coordinating across electrical, mechanical, firmware, controls, and software teams
Debug hardware-software interactions hands-on during design, launch, and field deployment — pulling and analyzing logs and adding debug instrumentation/tracing to firmware and software to isolate root cause
Lead calibration and tuning efforts to hit subsystem and robot-level performance targets
Prototype and characterize components and full systems; build early prototypes to de-risk new technologies before committing to production architecture
Execute system-level test plans from bench testing through field deployment, and turn real-world failures into repeatable test cases
Write scripts and tooling to improve bring-up, validation, and triage efficiency
Instrument systems and analyze noisy hardware data; communicate findings clearly across mechanical, electrical, and software teams
Surface nth-order impacts of electrical, software, or process changes before they become problems
Feed interface and requirements feedback from the bench back to the Systems Engineering team, and provide integration data and open-issue status for readiness reviews
Degree in Computer Engineering, Electrical Engineering, Mechanical Engineering, or equivalent experience
2+ years in systems integration, 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
Hands-on experience debugging complex subsystems involving networked microprocessors, embedded Linux, and software-controlled electromechanical devices — comfortable reading and modifying C/C++ firmware/software yourself to add debug logging, instrument code paths, and iterate on a fix, not just reading code to hand off to firmware engineers
Able to write scripts or tooling to improve bring-up and validation efficiency
Proficient in data analysis and visualization — able to extract signal from noisy hardware data
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
Background in robotics, EV powertrains, drones, or other dense electromechanical systems
Exposure to manufacturing self-test design or service diagnostics
Familiarity with functional safety concepts or automotive/robotics validation processes