Motion / Gear Tech Lead

• 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.
דרישות התפקיד
• 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.
• 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.