Lead Robotics Controls Engineer: Real-Time Motion & Sensing in Brisbane

Mytra’s robotics team is developing next-generation warehouse automation using physics-based, first-principles design. We are seeking a Robotics Controls Engineer to architect and implement advanced motion control systems that integrate sensing, perception, and actuation into reliable, high-performance robotic platforms.

This role spans real-time embedded software, communication architecture, and control algorithm design to deliver precise, safe, and efficient robot motion in complex environments. You will work across mechanical, electrical, and software disciplines to push the boundaries of warehouse robotics.

• Architect and implement motion control frameworks for multi-axis robotic systems, including actuator control, trajectory generation, and dynamic path execution.
• Design and integrate communication architectures for distributed controllers, sensors, and actuators, including pub/sub messaging frameworks (e.g., NATS, ROS2, custom protocols).
• Develop, simulate, and tune control algorithms for position, velocity, torque, and force control, incorporating model-based techniques and Kalman filter–based state estimation.
• Lead sensor fusion and localization efforts to ensure robust, real-time state estimation in both simulated and physical environments.
• Define motor and sensor strategies, including hardware selection, calibration, and diagnostics, to meet performance, safety, and scalability requirements.
• Build and maintain simulation and automated test tools to prototype new control strategies, validate them in CI/CD, and translate them into production-ready implementations.
• Iterate between simulation and hardware testing to diagnose corner cases, improve algorithms, and ensure robustness in diverse real-world conditions.
• Deliver high-quality, maintainable code in C++ and Python for real-time and high-level control systems.

Demonstrated experience in approaching challenges with a physics-based, first-principles mindset to develop innovative solutions.

Qualifications:

• BS or MS in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or related field.
• Strong background in control theory, kinematics, dynamics, and system modeling for electromechanical systems.
• Familiarity with CAN, pub/sub communication frameworks, distributed control architectures, and safety-critical system design standards (ISO 13849, IEC 61508).
• Ability to debug and optimize complex electromechanical systems with limited telemetry, using both software and hardware tools.
• Demonstrated ability to balance control system complexity with simplicity, elegance, and robustness in production implementations.
• Proficiency in C/C++ and/or Python for embedded and high-level control software.
• Experience with motor control (BLDC, stepper, servo), sensor integration (e.g., encoders, IMUs, cameras), and real-time operating systems (e.g., FreeRTOS, RT Linux, Zephyr).