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

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