Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance the HIP runtime and mentor junior engineers in GPU software development.
- Company: Leading UK technology company with a focus on innovation.
- Benefits: Hybrid work model and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make a significant impact in GPU programming.
- Qualifications: Strong C++ skills and understanding of GPU computing models.
- Other info: Dynamic environment with excellent career advancement opportunities.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology company in the UK seeks an experienced SMTS Software Development Engineer to enhance the HIP runtime, vital for their GPU programming environment. This role entails deep technical contribution, mentoring junior engineers, and collaborating on cross-cutting GPU software development.
Candidates should have substantial C++ expertise and a solid grasp of GPU computing models. This position offers a hybrid work model and opportunities for professional growth within a forward-thinking environment.
Senior GPU Runtime Engineer (HIP/ROCm) in England employer: AMD
Contact Detail:
AMD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GPU Runtime Engineer (HIP/ROCm) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your C++ projects or GPU programming work, make sure to share it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of GPU computing models. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior GPU Runtime Engineer (HIP/ROCm) in England
Some tips for your application 🫡
Show Off Your C++ Skills: Make sure to highlight your C++ expertise in your application. We want to see how you've used it in past projects, especially in relation to GPU programming. Don't hold back on the details!
Talk About Your GPU Experience: Since this role is all about enhancing the HIP runtime, share any experience you have with GPU computing models. We love seeing how you've tackled challenges in this area, so give us the juicy bits!
Mentorship Matters: If you've mentored junior engineers before, let us know! We value collaboration and knowledge sharing, so mentioning your mentoring experiences can really make your application stand out.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at AMD
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your past projects and how you've used C++ in GPU programming. They’ll likely ask technical questions, so having examples ready will show your expertise.
✨Understand GPU Computing Models
Familiarise yourself with different GPU computing models, especially those relevant to HIP and ROCm. Being able to explain these concepts clearly will demonstrate your depth of knowledge and passion for the field.
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior engineers, think of examples where you've successfully guided others. Be ready to discuss your approach to mentoring and how you can contribute to a collaborative team environment.
✨Prepare for Cross-Cutting Discussions
This position requires collaboration across various teams. Prepare to talk about your experience working on cross-functional projects and how you handle communication and teamwork in a hybrid work model.