Our Client operates within the innovative robotics industry, recognised for its commitment to pushing the boundaries of technology.
Responsibilities
1. Architect and implement high-performance software solutions for robotic teleoperation systems.
2. Lead the design and development of software infrastructure and frameworks for deploying scalable robotics solutions.
3. Drive technical decisions and establish best practices within the robotics team.
4. Mentor junior engineers and conduct technical reviews of their work.
5. Collaborate with cross-functional teams, including hardware, product, and research, to define technical roadmaps.
6. Solve challenging technical problems related to control for teleoperation, telepresence, data collection, and model execution.
7. Design and implement simulation environments and testing frameworks to validate robotic behaviours.
8. Optimise algorithms for performance, reliability, and resource efficiency.
9. Contribute to strategic technical discussions and product planning.
10. Stay current with emerging robotics technologies and research.
Essential Skills & Experience
11. Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field (Master's or PhD preferred).
12. Over 5 years of professional experience in software development for robotic systems.
13. Advanced programming skills in C++ and Python.
14. Strong expertise with ROS (Robot Operating System) and related tools.
15. In-depth understanding of robot kinematics, dynamics, and control theory.
16. Proven experience in architecting and implementing large-scale robotics software systems.
17. Strong background in computer vision, sensor fusion, and state estimation.
18. Experience leading software development projects and mentoring engineers.
19. Demonstrated ability to tackle complex technical problems within robotics.
20. Excellent communication skills, capable of translating technical concepts for non-technical stakeholders.
21. Adhere to safety standards
Desirable Skills & Experience
22. Experience with machine learning applied to robotics.
23. Familiarity with cloud technologies and infrastructure for robotic systems.
24. Knowledge of regulatory frameworks and compliance standards in the robotics industry.
Call to Action
If you possess the requisite skills and experience, we invite you to apply by submitting your CV.