Electrical Engineer, Robotics

Our client is a Singapore-based applied R&D lab building an open-source humanoid robot platform and the full software stack behind it, working across hardware architecture, locomotion, autonomy, simulation and infrastructure. This role owns the electronic systems that power the robot, from power distribution through motor control and sensor integration.

What You'll Do

• Design and review schematics and PCB layouts for power distribution units, motor driver boards and actuator control electronics
• Integrate wiring harnesses, PCBA enclosures and motor controllers into mechanical assemblies from the ground up
• Lead bring-up of power systems, sensors and actuator subassemblies, diagnosing issues across multiple hardware revisions
• Define and run electrical and system-level test protocols, analyze failure modes and iterate based on test data
• Work closely with firmware and controls teams to ensure electrical design choices support stable, low-latency control loops
• Apply connector selection, grounding strategy, harness routing and EMI suppression expertise for robust, field-reliable hardware
• Contribute PCB schematics and manufacturing documentation to the project's open-source hardware releases

Core Key Skills

• 3+ years of hands-on electrical engineering experience on high-complexity electromechanical products
• Solid understanding of electrical/electronic systems, including motor drivers, sensors and embedded hardware integration
• Deep familiarity with low-voltage (under 60V) DC power systems, DC-DC converters, MOSFET gate drivers, current-sense amplifiers and passive network design
• Proficiency with oscilloscopes, logic analyzers and CAN/UART sniffers for in-depth hardware debug
• Expertise in connector selection, grounding strategies, harness routing and EMI suppression techniques
• Strong communication skills across firmware teams, mechanical engineers and leadership

Nice to Have

• Experience with bipedal/humanoid robot hardware or legged locomotion platforms
• Familiarity with CAN bus, motor controllers, and how electrical design affects firmware/control integration
• Python scripting for hardware automation and data analysis
• Familiarity with sim-to-real workflows and how hardware decisions affect locomotion policy training