At a Glance
- Tasks: Design and optimise CUDA kernels for high-performance AI and HPC projects.
- Company: Join a leading tech recruitment agency with a focus on innovation.
- Benefits: Remote work, competitive pay, and opportunities to work with top professionals.
- Other info: Exciting role with potential for significant career advancement.
- Why this job: Be part of an elite team pushing the boundaries of performance engineering.
- Qualifications: Deep experience with CUDA C/C++ and GPU architecture required.
The predicted salary is between 36000 - 60000 € per year.
A tech recruitment agency is seeking a CUDA Developer for a UK-based remote contract role. You will design and optimise CUDA kernels, translate algorithms into GPU-accelerated code, and work alongside C++ engineers and ML researchers.
Ideal candidates have deep experience with CUDA C/C++, GPU architecture, and familiarity with HPC frameworks. Join an elite team working at the cutting edge of performance engineering.
Remote CUDA Developer for High-Performance AI & HPC in Liverpool employer: Silicon Fen Resourcing
As a leading tech recruitment agency, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our remote roles offer unparalleled flexibility, allowing you to work from anywhere in the UK while being part of an elite team dedicated to pushing the boundaries of high-performance computing and AI. With a strong focus on employee growth, we provide access to cutting-edge projects and continuous learning opportunities, making us an exceptional employer for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote CUDA Developer for High-Performance AI & HPC in Liverpool
✨Tip Number 1
Network like a pro! Reach out to fellow developers, join online forums, and connect with industry professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your CUDA projects and any optimisations you've done. This will give potential employers a taste of what you can bring to the table, especially in high-performance AI and HPC.
✨Tip Number 3
Prepare for technical interviews by brushing up on your CUDA knowledge and problem-solving skills. Practice coding challenges that focus on GPU architecture and performance engineering to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented CUDA developers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote CUDA Developer for High-Performance AI & HPC in Liverpool
Some tips for your application 🫡
Show Off Your CUDA Skills:Make sure to highlight your experience with CUDA C/C++ in your application. We want to see how you've designed and optimised CUDA kernels in the past, so don’t hold back on the details!
Talk About Your Teamwork:Since you'll be working alongside C++ engineers and ML researchers, it’s important to showcase your collaborative skills. Share examples of how you’ve successfully worked in a team to tackle complex problems.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Silicon Fen Resourcing
✨Know Your CUDA Inside Out
Make sure you brush up on your CUDA C/C++ skills before the interview. Be prepared to discuss specific projects where you've designed and optimised CUDA kernels, as well as any challenges you faced and how you overcame them.
✨Understand GPU Architecture
Familiarise yourself with the latest GPU architectures and their capabilities. Being able to talk about how different architectures can impact performance will show that you’re not just a coder but someone who understands the hardware behind the code.
✨Showcase Your HPC Knowledge
Since the role involves working with high-performance computing frameworks, be ready to discuss your experience with them. Highlight any relevant projects or tools you've used, and how they contributed to optimising performance in your previous work.
✨Collaborate Like a Pro
This position requires working alongside C++ engineers and ML researchers, so demonstrate your teamwork skills. Prepare examples of how you've successfully collaborated in the past, especially in cross-functional teams, to achieve project goals.
