At a Glance
- Tasks: Optimise scientific computing applications for AMD CPU and GPU platforms.
- Company: Leading technology company in the UK with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a team pushing the boundaries of supercomputing and AI workflows.
- Qualifications: PhD and strong expertise in HPC performance optimisation and GPU programming.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in the UK is seeking a HPC Computational Scientist/Engineer to optimize scientific computing applications for AMD CPU and GPU platforms. The ideal candidate will have strong expertise in HPC performance optimization and GPU programming, and will be involved in tuning applications for supercomputing and AI workflows.
Responsibilities include:
- Collaboration with customer teams
- Full-stack optimization of large-scale HPC workloads
This role requires a PhD and significant experience in scientific computing.
HPC Performance Scientist: GPU/CPU Optimizations in London employer: Advanced Micro Devices
Contact Detail:
Advanced Micro Devices Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HPC Performance Scientist: GPU/CPU Optimizations in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the HPC field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your HPC projects, especially those involving GPU/CPU optimisations. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your optimisation techniques and problem-solving skills. We recommend practicing with real-world scenarios related to supercomputing and AI workflows to impress your interviewers.
✨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 HPC Performance Scientist: GPU/CPU Optimizations in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your experience in HPC performance optimization and GPU programming. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the HPC Performance Scientist role. Use keywords from the job description to demonstrate that you understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Advanced Micro Devices
✨Know Your HPC Inside Out
Make sure you brush up on your knowledge of high-performance computing (HPC) and the specific optimisations for AMD CPU and GPU platforms. Be ready to discuss your past experiences with performance tuning and how you've tackled challenges in scientific computing.
✨Showcase Your Programming Skills
Prepare to demonstrate your expertise in GPU programming. Bring examples of projects where you've implemented optimisations, and be ready to explain your thought process and the impact of your work on performance metrics.
✨Collaboration is Key
Since the role involves working closely with customer teams, think of examples that highlight your teamwork skills. Be prepared to discuss how you've successfully collaborated on projects, especially in a full-stack optimisation context.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current HPC projects and their future direction. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.