Robotics Software Engineer
Senior Software Engineer position focusing on low-latency control systems, specifically multi-axis movement to search for and track objects dynamically using feedback loops.
Initially you will work on the core algorithms before deploying on embedded Linux or microcontroller based platforms in C or C++.
The role offers significant autonomy across architecture and implementation, alongside complex challenges involving geometry, coordinate systems, and real-time astronomical tracking.
We are happy to consider any software engineers who have relevant robotics/control projects and good software development skills. The ideal candidate will have experience developing algorithms to control multiple motors or servo mechanisms using closed-loop feedback, including PID/PI tuning and position or velocity control.
Senior Software Engineer essential skills
Senior Software Engineer desirable skills
Initially you will work on the core algorithms before deploying on embedded Linux or microcontroller based platforms in C or C++.
The role offers significant autonomy across architecture and implementation, alongside complex challenges involving geometry, coordinate systems, and real-time astronomical tracking.
We are happy to consider any software engineers who have relevant robotics/control projects and good software development skills. The ideal candidate will have experience developing algorithms to control multiple motors or servo mechanisms using closed-loop feedback, including PID/PI tuning and position or velocity control.
Senior Software Engineer essential skills
- Commercial software engineering experience with C or C++
- Practical experience in control or robotics
- A sound understanding of things like gearing, inertia, friction, backlash, acceleration, overshoot, oscillation and stability.
- A degree in engineering or equivalent qualification or experience.
Senior Software Engineer desirable skills
- Python
- Motor drives, feedback devices and real-time software
- RTOS
- Linux development, scripting and system diagnostics.
- General embedded systems
- Advanced control or estimation methods, including feed-forward control, Kalman filtering, sensor fusion or system identification.
- IMUs, gyroscopes, accelerometers, GNSS or multi-axis motion-control systems.
- MATLAB/Simulink or Python-based control and simulation tools.
- Interfaces such as CAN, SPI, I2C, UART/RS-485 or Ethernet.
- ROS 2, ros2_control, CANopen/CiA 402 or EtherCAT.