Electrical Engineering Lead

At Mind Robotics, we’re building generalized physical AI —robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. The Electrical Engineering Lead will be responsible for leading and scaling out our Electrical Engineering team. Responsibilities Lead, mentor, and scale the EE team (power electronics, sensing, and electrical design) while raising the technical bar through hiring and onboarding. Own the robot’s end-to-end electrical architecture (power, actuation, sensing, compute integration, and harnessing) and overall electrical budget. Set EE design standards, review schematics/layouts, and arbitrate trade-offs across signal integrity, EMI/EMC, thermals, and cost. Partner with mechanical, firmware, and perception teams to translate product requirements into hardware specs and integrate high-speed sensor stacks. Lead system-level electrical bring-up, fault isolation, and root-cause debugging across board boundaries from the lab bench. Establish lightweight, scalable workflows for design reviews, schematic/layout sign-offs, ECO discipline, and roadmapping. Drive DFM/DFA, collaborate with PCB fabricators and contract manufacturers, and secure second-source components for production ramp. Qualifications Technical degree in EE (or equivalent) with 8+ years of full-cycle board development (schematic to production) for complex robotic, automotive, or electromechanical systems. 5+ years leading EE teams. A first-principles engineer who actively designs, lays out, and debugs hardware rather than managing purely from a distance. Deep, hands-on experience with EtherCAT (topology, distributed-clock sync, PDO mapping) for distributed actuation and sensing. Mastery of at least one core domain—power electronics/motor drives or sensor/mixed-signal front-ends—with broad fluency across both. Strong grasp of high-current power architectures, rail partitioning, budgeting, and circuit protection (OVP/UVP/OCP/OTP). Solid command of EMI/EMC, grounding, and ESD mitigation in noisy, motor-dense environments. Fluency with high-speed serial interfaces and protocols (SPI, I2C, UART, PMBus), plus enough firmware literacy to debug hardware boundaries. Proven experience mentoring engineers, managing risk, and driving multi-board hardware projects through volume manufacturing. #J-18808-Ljbffr Mind Robotics