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For Companies At a Glance
- 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 platforms.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a team pushing the limits of technology and making a real impact in robotics.
- Qualifications: Proficiency in Python/C++, GPU programming, and experience with deep learning frameworks required.
- Other info: Ideal for those passionate about robotics and eager to innovate in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
The Companies Long Term Vision: Turn AI Robotics on its head.
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.
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.
- Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.
- Experience with robotics simulation frameworks.
If you want to join a company that is pushing the boundaries of AI Robotics.
Senior Robotics Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Robotics 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 technologies, making you a more attractive candidate.
✨Tip Number 2
Showcase your hands-on experience with robotics projects. Whether it's through personal projects, internships, or previous job roles, having tangible examples of your work can set you apart. Consider creating a portfolio that highlights your contributions to robotics simulations or machine learning models.
✨Tip Number 3
Stay updated on the latest advancements in GPU programming and deep learning frameworks. Follow relevant blogs, subscribe to newsletters, or join online forums. Demonstrating your knowledge of cutting-edge technologies during interviews can impress hiring managers and show your commitment to the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios related to robotics and AI. Use platforms like LeetCode or HackerRank to sharpen your skills in Python and C++. Being well-prepared will boost your confidence and help you perform better during the interview process.
We think you need these skills to ace Senior Robotics Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Senior Robotics Engineer. Familiarise yourself with the technologies mentioned in the job description, such as CUDA, Python, and deep learning frameworks.
Tailor Your CV: Customise your CV to highlight relevant experience in robotics, control theory, and high-performance computing. Emphasise your proficiency in Python/C++ and any experience with GPU programming or robotics simulation frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI Robotics and your understanding of the company's vision. Mention specific projects or experiences that demonstrate your ability to contribute to their groundbreaking simulation platform.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or 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
Be prepared to discuss your proficiency in Python and C++, as well as your experience with deep learning frameworks like PyTorch. Highlight 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 background and expertise align with their goals, particularly in enhancing robot training efficiency and performance.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle hypothetical scenarios or technical challenges during the interview. Showcase your problem-solving skills by explaining your thought process and how you would approach optimising machine learning models or improving simulation frameworks.
✨Ask Insightful Questions
Engage your interviewers by asking thoughtful questions about the company's projects, technologies, and future directions. This not only shows your interest but also helps you gauge if the company is the right fit for you.
