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Mind Robotics is building physical AI systems for industrial deployment, starting with factory automation. The company focuses on creating generalized robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world environments.
As a Systems Integration Engineer, you will own integration across robotic platforms, translating mission requirements into hardware reality and ensuring all subsystems function as a coherent whole. You'll work at the intersection of mechanical, electrical, firmware, and controls engineering, accountable for the system from concept through field deployment.
Key responsibilities include:
- Contributing to architectural decisions for robot subsystems, including communication protocols, control strategies, and hardware-software partitioning
- Collaborating with electrical, mechanical, safety, and firmware teams to define interfaces and validation strategies early
- Defining software requirements from high-level system requirements using first-principles analysis and hardware/model-based testing
- Prototyping and characterizing components and full systems to de-risk new technologies before production
- Debugging hardware-software interactions hands-on during design, launch, and field deployment, including log analysis and firmware instrumentation
- Analyzing failure modes, completing DFMEAs/HARAs, and defining system-level test plans
- Driving readiness reviews and post-launch monitoring across firmware, hardware, controls, reliability, and manufacturing teams
You should have a degree in Computer Engineering, Electrical Engineering, Mechanical Engineering, or equivalent experience, plus 2+ years in systems engineering or cross-disciplinary hardware roles involving complex electromechanical or robotic products. Strong fundamentals in both hardware and software are essential—you'll bridge electrical schematics, embedded communication protocols, and firmware architecture. Hands-on debugging experience with networked microprocessors and software-controlled electromechanical devices is required, including comfort reading, modifying, and recompiling C/C++ firmware. Experience defining measurable requirements from high-level behaviors, data analysis and visualization, and comfort with ambiguity are important. Nice-to-haves include robotics or EV powertrain background, manufacturing self-test design experience, and familiarity with functional safety standards (ISO 26262, IEC 61508).
