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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 - 84000 £ 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.
Senior Robotics Controls Engineer employer: TTE Staffing
Contact Detail:
TTE Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Robotics Controls Engineer
✨Tip Number 1
Network with professionals in the robotics and AI fields. Attend industry conferences, workshops, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your projects and experience on platforms like GitHub or personal websites. Highlight any relevant work you've done in reinforcement learning, control systems, or humanoid robotics. This not only demonstrates your skills but also gives us a glimpse of your practical experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of control algorithms and their applications in robotics. Be ready to discuss specific challenges you've faced in previous projects and how you overcame them, as this will show us your problem-solving abilities.
✨Tip Number 4
Stay updated on the latest advancements in robotics and AI. Follow relevant journals, blogs, and podcasts to keep your knowledge fresh. This will not only help you during interviews but also demonstrate your passion for the field when you engage with us.
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. Use metrics to quantify your achievements where possible.
Highlight Collaboration Skills: Since the role involves working with various teams, mention any experience you have in collaborative projects. Highlight your ability to integrate control strategies with software and hardware teams effectively.
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 in detail. 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 challenges faced and how you overcame them together.
✨Prepare for Practical Assessments
Expect to engage in practical assessments or technical questions related to hardware-in-the-loop testing and full robotic system integration. Brush up on your knowledge of actuator-level performance and be ready to explain your approach to validating and tuning controllers.
✨Align with the Company Vision
Familiarise yourself with the company's vision of integrating AI and robotics for societal benefit. Be prepared to discuss how your values align with theirs and how you can contribute to their mission of creating a future filled with knowledge and well-being.
