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- Tasks: Lead the development of advanced control algorithms for humanoid robots.
- Company: Join a pioneering UK AI and robotics company revolutionising humanoid technology.
- Benefits: Enjoy flexible working hours and a highly competitive salary.
- Why this job: Be at the forefront of robotics, shaping a future where humans and machines collaborate.
- Qualifications: Masters or PhD in Robotics or related field; expertise in reinforcement learning required.
- Other info: Work with cutting-edge technologies like AI, Robotics, and Blockchain.
The predicted salary is between 48000 - 72000 £ per year.
A pioneering AI and robotics company based in the UK is creating the world's 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 the opportunity to work on the latest technologies in AI, Robotics, Blockchain, and more.
Contact Detail:
TTE Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Robotics Controls Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in robotics and control systems. Stay updated on current research papers and industry trends, especially those related to humanoid robots and reinforcement learning, as this knowledge will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the robotics field through platforms like LinkedIn or relevant conferences. Engaging with others in the industry can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨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, as practical experience is highly valued.
✨Tip Number 4
Demonstrate your problem-solving skills by thinking critically about potential challenges in locomotion control for humanoid robots. Consider how you would approach issues like gait optimization or energy efficiency, and be prepared to discuss your thought process during interviews.
We think you need these skills to ace Senior Robotics Controls 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 specific projects related to humanoid robots or reinforcement learning.
Craft a Compelling Cover Letter: In your cover letter, express your passion for robotics and AI. Discuss how your background aligns with the company's vision of creating advanced humanoid robots and how you can contribute to their mission.
Showcase Relevant Projects: Include details about specific projects you've worked on that demonstrate your skills in control algorithms, hardware-in-the-loop testing, and system integration. Highlight any successful outcomes or innovations you achieved.
Prepare for Technical Questions: Anticipate technical questions related to control systems, reinforcement learning, and robotic integration during the interview process. Brush up on key concepts and be ready to discuss your problem-solving approach in detail.
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 in detail. Highlight specific projects where you've developed or implemented these technologies, as this will demonstrate your capability to handle the responsibilities of the role.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Prepare to walk through your thought process on how you would approach complex problems related to locomotion control systems. This will showcase your analytical skills and ability to think critically under pressure.
✨Familiarise Yourself with the Company’s Vision
Understand the company's mission and how their humanoid robots aim to address global labour gaps. Being able to articulate how your values align with their vision will show your genuine interest in the role and the company.
✨Prepare for Collaborative Scenarios
Since the role involves working with various teams, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully integrated control strategies with software and hardware teams, as this will highlight your teamwork and communication skills.
