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.

• 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 road mapping.
• Drive DFM/DFA, collaborate with PCB fabricators and contract manufacturers, and secure second-source components for production ramp.

• 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.