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- Tasks: Develop cutting-edge control algorithms for robotic systems and enhance machine learning models.
- Company: Join a pioneering AI Robotics company revolutionising the industry with innovative simulation platforms.
- Benefits: Competitive salary up to £125,000 and opportunities for remote work.
- Why this job: Be part of a team pushing the boundaries of robotics and AI technology.
- Qualifications: Solid understanding of control theory, proficiency in Python/C++, and GPU programming experience required.
- Other info: Ideal for those who thrive in fast-paced environments and want to make an impact.
The predicted salary is between 75000 - 125000 £ per year.
Salary: up to £125,000
Location: Cambridge
The Companies Long Term Vision: Turn AI Robotics on its head.
About Us: Join a business at the forefront of AI Robotics, developing cutting-edge solutions to revolutionise the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.
The Challenge: Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.
As a Senior Robotics Control Engineer, you will:
- Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.
- Develop control algorithms that effectively translate simulated environments to real-world robot behaviour.
- Enhance the efficiency of machine learning models through techniques like quantisation, pruning, and other optimisation methods.
- Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.
Qualifications:
- Solid understanding of control theory, with a focus on manipulation and locomotion tasks.
- Proficiency in Python/C++ and deep learning frameworks like PyTorch.
- Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.
- Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.
- Experience working with physical robots is beneficial.
- Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.
If you want to join a company that is pushing the boundaries of AI Robotics, apply today!
Senior Robotics Manipulation Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Robotics Manipulation Engineer
✨Tip Number 1
Network with professionals in the robotics and AI fields. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals and potential colleagues. This can help you gain insights into the latest trends and possibly get referrals.
✨Tip Number 2
Showcase your projects and experience on platforms like GitHub or personal websites. Highlight any relevant work involving control algorithms, GPU programming, or robotics simulations. This will give us a clear view of your skills and how they align with our needs.
✨Tip Number 3
Prepare to discuss specific challenges you've faced in previous roles related to robotics manipulation or AI. We value problem-solving skills, so be ready to share how you approached these challenges and the outcomes of your efforts.
✨Tip Number 4
Familiarise yourself with our company's vision and the technologies we use. Understanding our goals and how your expertise can contribute to them will help you stand out during discussions and demonstrate your genuine interest in joining our team.
We think you need these skills to ace Senior Robotics Manipulation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in robotics, control theory, and GPU programming. Emphasise your proficiency in Python/C++ and any experience with deep learning frameworks like PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI Robotics and how your skills align with the company's vision. Mention specific projects or experiences that demonstrate your ability to contribute to their goals.
Showcase Relevant Projects: If you have worked on projects involving robotics simulation frameworks or physical robots, be sure to include these in your application. Detail your role and the impact of your contributions.
Highlight Problem-Solving Skills: Given the challenge of improving robot training efficiency, illustrate your problem-solving abilities. Provide examples of how you've tackled complex issues in previous roles, particularly in fast-paced environments.
How to prepare for a job interview at DeepRec.ai
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and C++, as well as your experience with deep learning frameworks like PyTorch. Bring examples of past projects where you've successfully implemented control algorithms or worked with GPU programming.
✨Understand the Company's Vision
Familiarise yourself with the company's long-term vision of revolutionising AI Robotics. Be ready to discuss how your skills and experiences align with their goal of achieving a 100x speed improvement in robot training.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your understanding of control theory and robotics. Prepare to explain how you would approach challenges related to manipulation and locomotion tasks, showcasing your analytical thinking.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and future directions. This shows your genuine interest in the role and helps you determine if it's the right fit for you.
