At Mentee Robotics, we are redefining humanoid automation by integrating cutting-edge AI with real-world mechanical intelligence. Our flagship product, Menteebot v3.1, is a fully autonomous humanoid robot built to operate in dynamic industrial and commercial environments — learning and adapting as it moves.
We’re now expanding our technical team with a Motion Control Tech Lead - a senior expert who will define how our robot moves, performs, and interacts with its environment at the actuator level.
Responsibilities:
- Lead the definition and validation of motor control methodologies, spanning BLDC/PMSM motors, harmonic and planetary gears, and advanced drivers.
- Design and execute structured tests to characterize performance — torque, speed, resolution, responsiveness, thermal behavior, and more.
- Collaborate with embedded and control teams to guide the implementation and tuning of FOC, PID, and impedance control loops.
- Interface with mechanical and electrical teams to align actuator selection and design with control targets and test results.
- Support the AI and behavior modeling teams by delivering clear, validated actuator models and control limitations based on real-world measurements.
- Build test protocols, mentor junior engineers on execution and analysis, and filter out non-essential tests with good engineering judgment.
- Use lab tools (e.g., oscilloscopes, encoders, current sensors) to verify dynamic behavior across integrated robot joints.
- Drive improvements in actuation repeatability, responsiveness, and overall system control through precise measurement and feedback.
Requirements:
- B.Sc. or M.Sc. in Electrical, Mechanical, or Control Engineering (or equivalent experience).
- 8+ years of experience in motor control systems, robotics performance testing, or motion system integration.
- Deep hands-on experience with FOC, PID, and impedance control for BLDC/PMSM motors.
- Familiarity with harmonic and planetary gear systems and how they impact control and sensing.
- Proven ability to define and lead performance test plans from lab setup to interpretation.
- Skilled in collaborating across domains — embedded software, electronics, mechanical, and AI/control teams.
- Comfortable using lab tools to evaluate dynamic system behavior under load and in closed-loop motion.
Advantages:
- Experience in robotic or humanoid actuation systems.
- Familiarity with Python for scripting and data analysis.
- Exposure to motor driver electronics, EtherCAT networks, or real-time performance monitoring.
- Understanding of how sensor noise, latency, and actuation limits affect higher-level robotic behavior.