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- Tasks: Develop cutting-edge robotic systems and enhance machine learning models for faster training.
- Company: Join a pioneering company revolutionising AI Robotics with innovative simulation solutions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a team transforming the robotics industry with groundbreaking technology and impactful projects.
- Qualifications: Proficiency in Python/C++, GPU programming, and experience with deep learning frameworks required.
- Other info: Ideal for tech enthusiasts eager to push the limits of robotics and AI.
The predicted salary is between 48000 - 84000 £ per year.
Join a business that is 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.
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.
- 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.
Proficiency in Python/C++ and deep learning frameworks like PyTorch is required, along with extensive experience with GPU programming, including CUDA and GPU-accelerated libraries. Experience with robotics simulation frameworks is also essential.
Senior Control Systems Engineer / Robotics Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Control Systems Engineer / Robotics Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI robotics and simulation technologies. Being well-versed in cutting-edge tools and frameworks will not only boost your confidence but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Network with professionals in the robotics and AI sectors. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals and potential colleagues. This can lead to valuable insights and even referrals for job openings.
✨Tip Number 3
Showcase your hands-on experience with GPU programming and deep learning frameworks. If you have personal projects or contributions to open-source initiatives, be ready to discuss them in detail, as practical experience is highly valued in this role.
✨Tip Number 4
Prepare to discuss optimisation techniques like quantization and pruning in depth. Understanding these concepts and being able to articulate how they can enhance machine learning models will set you apart from other candidates.
We think you need these skills to ace Senior Control Systems Engineer / Robotics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in robotics, control systems, and high-performance computing. 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 expertise in GPU programming and robotics simulation frameworks.
Showcase Relevant Projects: If you have worked on projects involving machine learning model optimisation or GPU acceleration, be sure to include these in your application. Detail your role and the impact of your contributions.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at DeepRec.ai
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, C++, and deep learning frameworks like PyTorch. Be prepared to discuss specific projects where you've utilised these skills, especially in relation to GPU programming and robotics simulation.
✨Understand the Company's Vision
Familiarise yourself with the company's long-term vision of revolutionising AI Robotics. Be ready to discuss how your experience aligns with their goals, particularly in enhancing robot training efficiency and performance.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your understanding of control theory and high-performance computing. Practice explaining complex concepts clearly and concisely, as this will demonstrate your expertise and communication skills.
✨Demonstrate Your Passion for Innovation
Convey your enthusiasm for cutting-edge technology and innovation in robotics. Share any personal projects or research that showcase your commitment to staying at the forefront of the industry, which will resonate well with the interviewers.
