Robotics Intern (Winter 2026)

Mytra; City of Brisbane; On-site; AUD 22,000 - 33,000; Part time

Job summary

Mytra in Brisbane, Australia invites a robotics intern to join the firmware team, contributing to bring-up of firmware components, hardware drivers, and control algorithms to meet product specs. You will work on motion control, sensor fusion, and state estimation, using C++ and Python in Linux environments; collaboration across CAN, NATS, and ROS2.

Ideal for students in ME/EE/Robotics with hands-on project experience and a passion for reliable, physics-based engineering.

Qualifications

• Pursuing Bachelor's or Master's in a related field.
• Hands-on experience with motor control and sensor integration.
• Familiarity with real-time operating systems and embedded firmware.

Responsibilities

• Support firmware bring-up of hardware drivers, communication protocols, and control functions.
• Develop and tune motion control for multi-axis robotic systems.
• Implement and test control loops for position, velocity, torque, and force.
• Contribute to state estimation through sensor fusion and Kalman filtering, in simulation and on hardware.
• Collaborate over CAN/NATS/ROS2 to move data between controllers, sensors, and actuators.
• Iterate between simulation and hardware testing to improve robustness.
• Write clear, maintainable C++ and Python for real-time and high-level software.

Skills

C++

Python

Embedded systems

ROS2

CAN communication

Git

Education

Bachelor's or Master's in Mechanical/Electrical/Robotics/CS

Tools

FreeRTOS

Zephyr

RT Linux

CAN

NATS

Job description

• This intern will participate as a team member of the robotics firmware team, contributing to the bring up of firmware components including hardware drivers, communication protocols, and controls functions that allow the robot to communicate, actuate, estimate, and meet the product specifications required for launch of the product
• Support the development and tuning of motion control components for multi-axis robotic systems, including actuator control, trajectory generation, and path execution
• Implement and test control loops for position, velocity, torque, and force control, and compare real-world behavior against model-based predictions
• Contribute to state estimation work, including sensor fusion and Kalman filter-based estimators, in both simulation and on hardware
• Work with distributed communication interfaces (e.g. CAN, NATS, ROS2) to move data between controllers, sensors, and actuators
• Support motor and sensor bring-up, including calibration, diagnostics, and characterization of encoders, IMUs, and BLDC/stepper/servo drives
• Iterate between simulation and hardware testing to reproduce corner cases, debug issues, and improve robustness
• Write clear, maintainable C++ and Python for both real-time and high-level control software

A bias toward simple, elegant, robust solutions over unnecessary control system complexityStrong problem-solving skills and a willingness to debug complex electromechanical systems at both the hardware and software level, often with limited telemetryProficiency in C/C++ and/or Python for embedded and/or high-level control softwareComfortable working in Linux-based development environments and with Git version control workflowsCoursework or project experience in control theory, kinematics, dynamics, or system modeling for electromechanical systemsDemonstrated interest in approaching challenges with a physics-based, first-principles mindsetCurrently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Robotics, Physics, Computer Science, or a related fieldExposure to motor control (BLDC, stepper, servo) and sensor integration (e.g. encoders, IMUs, cameras) through coursework, labs, projects, or competition teamsExperience with real-time operating systems (e.g. FreeRTOS, RT Linux, Zephyr) or bare-metal embedded firmwareFamiliarity with CAN, pub/sub communication frameworks (e.g. NATS, ROS2), or distributed control architecturesHands-on experience implementing state estimation or control algorithms such as PID, trajectory generation, Kalman filtering, or localizationFamiliarity with physics-based simulation, hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing, or CI/CD for roboticsExposure to safety-critical system design standards (e.g. ISO 13849, IEC 61508)Experience with lab and embedded debugging tools such as oscilloscopes, logic analyzers, JTAG, or SWDPrior internship, research lab, or competition experience (e.g. FIRST Robotics, FSAE, RoboMaster) building and debugging hardware systems