mindrobotics · Palo Alto
ABOUT MIND: 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. 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. 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. RESPONSIBILITIES: - Own the system requirements baseline: capture top-level robot behaviors and performance targets, and decompose them into measurable subsystem requirements, budgets, and interfaces, with traceability through to verification - Define software requirements from high-level system requirements, using first-principles analysis and hardware/model-based testing - Contribute to architectural decisions for new robot subsystems — communication protocols, control strategies, and hardware-software partitioning — alongside firmware/controls, mechanical, and electrical teams - Own interface definitions across mechanical, electrical, firmware, controls, and software, and manage…
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