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- Tasks: Lead the development of a high-performance robotics simulation platform and enhance the compiler stack.
- Company: Genesis AI, a dynamic team at the forefront of machine learning technologies.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on open-source contributions.
- Why this job: Join a passionate team and make a real impact in the robotics and AI space.
- Qualifications: Strong background in compiler construction and GPU programming experience.
The predicted salary is between 70000 - 90000 £ per year.
Genesis AI is seeking a talented individual to lead the evolution of their high-performance robotics simulation platform. This role involves designing compute infrastructure, enhancing the compiler stack, and collaborating closely with engineers on various projects.
Ideal candidates will have a strong background in compiler construction, extensive experience with GPU programming, and a passion for contributing to open-source communities.
Join a dynamic team focused on cutting-edge machine learning technologies in London.
Lead ML Compiler & Systems Engineer for Robotics Sim in London employer: Genesis AI
Contact Detail:
Genesis AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Compiler & Systems Engineer for Robotics Sim in London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and ML community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to compiler construction and GPU programming. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of machine learning technologies and robotics systems. Practice coding challenges and system design questions to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead ML Compiler & Systems Engineer for Robotics Sim in London
Some tips for your application 🫡
Show Your Passion for Robotics: When writing your application, let us see your enthusiasm for robotics and machine learning. Share any relevant projects or experiences that highlight your skills in these areas, as we love to see candidates who are genuinely excited about what they do!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Lead ML Compiler & Systems Engineer role. Highlight your experience with compiler construction and GPU programming, and don’t forget to mention any contributions to open-source communities – it’s a big plus for us!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make your achievements stand out, and ensure your writing is free from jargon unless it’s relevant to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Genesis AI!
How to prepare for a job interview at Genesis AI
✨Know Your Compilers
Make sure you brush up on your knowledge of compiler construction. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and passion for the field.
✨Show Off Your GPU Skills
Since this role involves extensive GPU programming, prepare to talk about your experience with different GPU architectures and programming models. Bring examples of how you've optimised performance in past projects, as this will demonstrate your technical prowess.
✨Collaborate Like a Pro
Collaboration is key in this role, so be prepared to share examples of how you've worked with engineers from various disciplines. Highlight any open-source contributions you've made, as this shows your commitment to community and teamwork.
✨Stay Current with ML Trends
The field of machine learning is always evolving, so make sure you're up-to-date with the latest trends and technologies. Discuss any recent advancements that excite you and how they could impact robotics simulation, showing your enthusiasm for the industry.