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- Tasks: Develop advanced control algorithms for humanoid robots and conduct rigorous testing.
- Company: Join a pioneering UK AI and robotics company creating the world's most advanced humanoid robots.
- Benefits: Enjoy a highly competitive salary, flexible working hours, and work with cutting-edge technologies.
- Why this job: Be at the forefront of robotics, contributing to a future where humans and machines thrive together.
- Qualifications: Masters or PhD in Robotics or related field; expertise in reinforcement learning and algorithm development required.
- Other info: Collaborate with diverse teams to integrate control strategies into full robotic systems.
The predicted salary is between 48000 - 84000 £ per year.
A pioneering AI and robotics company based in the UK is creating the worlds most advanced, reliable, commercially scalable, and safe humanoid robots. Their first humanoid robot, HMND 01, is a next-generation labor automation unit, delivering highly efficient services across various industrial use cases.
In a world where artificial intelligence opens up new horizons, we believe in a future where humans and machines build a new era filled with knowledge, inspiration, and remarkable discoveries. The development of functional humanoid robots supports an era of abundance and well-being, where poverty disappears and people gain the freedom to choose their pursuits. The evolution toward universal basic income represents a true advancement of civilization.
As demands on our built environment grow and labor shortages loom, manufacturing, construction, and logistics industries face increasing pressure. By deploying general-purpose humanoid robots in hazardous or monotonous environments, our goal is to safeguard human well-being while addressing critical global labor gaps.
We are seeking a highly skilled Staff Control Engineer to take ownership of locomotion control systems for biped humanoid robots. This position is at the cutting edge of robotics and will be responsible for developing advanced control algorithms that prioritize precision, efficiency, and adaptability. Conduct rigorous testing in both simulated and real-world environments to validate algorithms.
Collaborate with software, hardware, and perception teams to integrate control strategies into the full robotic system.
- Masters or PhD in Robotics, Control Systems, Mechatronics, or a related field.
- Expertise in reinforcement learning applications for robotics.
- Experience with hardware-in-the-loop testing and physical deployment.
- Proficiency in Python and C++ for algorithm development and deployment.
- Understanding of advanced RL topics (model-free RL, imitation learning, hybrid control).
- Experience designing control algorithms for actuator-level performance (torque, force, impedance, etc.).
- Proven experience in full robotic system integration and locomotion validation.
- Skilled in HIL and SIL simulation design for control testing.
- Knowledge of failure mode analysis, robustness testing, and actuator system identification.
- Ability to validate and tune controllers on full-scale humanoid platforms in lab and field.
- Experience with compliance testing, gait optimization, and energy efficiency evaluations for legged systems.
Highly competitive salary, flexible working hours, and opportunity to work on the latest technologies in AI, Robotics, Blockchain, and more.
Controls Engineer/ Robotics Engineer employer: TTE Staffing
Contact Detail:
TTE Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Controls Engineer/ Robotics Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in humanoid robotics and control systems. Understanding the specific technologies and methodologies used in locomotion control will give you an edge during interviews.
✨Tip Number 2
Engage with online communities and forums related to robotics and AI. Networking with professionals in the field can provide insights into the company culture and expectations, which can be invaluable when preparing for your interview.
✨Tip Number 3
Prepare to discuss your hands-on experience with hardware-in-the-loop testing and algorithm development. Be ready to share specific examples of projects where you've successfully integrated control strategies into robotic systems.
✨Tip Number 4
Showcase your problem-solving skills by thinking through potential challenges in locomotion control for humanoid robots. Being able to articulate your thought process on how to tackle these issues can set you apart from other candidates.
We think you need these skills to ace Controls Engineer/ Robotics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in robotics, control systems, and algorithm development. Emphasise your expertise in Python and C++, as well as any projects involving reinforcement learning or hardware-in-the-loop testing.
Craft a Compelling Cover Letter: In your cover letter, express your passion for robotics and AI. Discuss how your skills align with the company's vision of creating advanced humanoid robots and mention specific experiences that demonstrate your ability to develop control algorithms.
Showcase Relevant Projects: If you have worked on projects related to locomotion control systems or robotic integration, be sure to include these in your application. Detail your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working with various teams, emphasise your ability to collaborate effectively. Mention any past experiences where you successfully integrated control strategies with software and hardware teams, showcasing your teamwork skills.
How to prepare for a job interview at TTE Staffing
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with control algorithms and reinforcement learning applications. Highlight specific projects where you've developed or tested these systems, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Demonstrate Collaboration Skills
Since the role involves working closely with software, hardware, and perception teams, be ready to share examples of how you've successfully collaborated in multidisciplinary environments. This could include discussing any challenges faced and how you overcame them.
✨Prepare for Practical Assessments
Expect to engage in practical assessments or technical questions related to hardware-in-the-loop testing and algorithm validation. Brush up on your Python and C++ skills, as well as your understanding of actuator-level performance metrics.
✨Align with the Company Vision
Familiarise yourself with the company's vision of integrating AI and robotics for societal benefit. Be ready to articulate how your personal values align with their mission, particularly regarding the future of work and human-robot collaboration.
