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- Tasks: Research and develop GPU acceleration techniques for AI workloads.
- Company: Leading UK technology firm focused on innovation and diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Advanced degree, 8+ years in software development, strong C/C++ skills.
- Other info: Collaborate with industry and academic experts in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in the United Kingdom is seeking a Senior Developer Technology Engineer in Artificial Intelligence. In this role, you will research and develop techniques to GPU accelerate workloads in AI while collaborating with experts from industry and academia.
Ideal candidates will have:
- An advanced degree
- Over 8 years of experience in software development
- Strong C/C++ programming skills
Join a team that values diversity and fosters innovation in an exciting field.
Senior AI Compute Engineer - GPU & Parallel Optimizations in Bristol employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Compute Engineer - GPU & Parallel Optimizations in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those related to GPU acceleration and AI. 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 C/C++ skills and understanding parallel computing concepts. Practice coding challenges and be ready to discuss your past projects in detail.
✨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 AI Compute Engineer - GPU & Parallel Optimizations in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development and your strong C/C++ skills. We want to see how your background aligns with the role of a Senior AI Compute Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about GPU acceleration in AI and how your expertise can contribute to our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, whether in academia or industry, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially those that involve parallel optimizations.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Nvidia
✨Know Your Tech Inside Out
Make sure you brush up on your C/C++ programming skills and be ready to discuss specific projects where you've implemented GPU acceleration. Being able to articulate your technical expertise will show that you're not just familiar with the concepts, but that you can apply them effectively.
✨Research the Company and Its Innovations
Dive into the latest advancements from the technology firm you're interviewing with. Understanding their current projects and how they align with your experience in AI and parallel optimisations will help you tailor your responses and demonstrate genuine interest.
✨Prepare for Technical Questions
Expect to face some challenging technical questions or coding tests during the interview. Practise solving problems related to GPU workloads and parallel computing beforehand, so you can showcase your problem-solving skills under pressure.
✨Showcase Your Collaborative Spirit
Since the role involves working with experts from both industry and academia, be prepared to discuss your experiences in teamwork and collaboration. Share examples of how you've successfully worked in diverse teams to drive innovation and achieve project goals.
