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- Tasks: Research and develop GPU acceleration techniques for AI workloads.
- Company: Leading tech company in Reading with a focus on innovation.
- Benefits: Competitive salary, opportunities for research publication, and collaboration with experts.
- Why this job: Join the forefront of technology and contribute to groundbreaking advancements in AI.
- Qualifications: Advanced degree in Computer Science and 8+ years of relevant experience.
- Other info: Dynamic environment with opportunities for professional growth and impact.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in Reading seeks a Senior Developer Technology Engineer to research and develop GPU acceleration techniques for AI workloads. The successful candidate will collaborate with experts to optimize AI algorithms and publish findings in developer forums.
Applicants should have an advanced degree in Computer Science and over 8 years of relevant experience, including proficiency in C/C++ and parallel programming. This role offers the chance to work at the forefront of technology and contribute to groundbreaking advancements.
Senior AI Compute Engineer - GPU & Parallel Optimizations in Reading 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 Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with GPU acceleration or AI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to GPU and parallel programming. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++ knowledge and parallel programming techniques. We recommend practicing coding challenges and discussing your thought process out loud during mock interviews.
✨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 Reading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C/C++ and parallel programming in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing how you connect your past experiences to the GPU acceleration techniques we’re looking to develop.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see why you’d be a great fit for the team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Nvidia
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of GPU acceleration techniques and parallel programming. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working with experts, be prepared to talk about your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to optimise AI algorithms or similar projects.
✨Prepare for Technical Questions
Expect some deep technical questions related to C/C++ and AI workloads. Practise coding problems and be ready to explain your thought process clearly. This will demonstrate not just your technical skills but also your problem-solving approach.
✨Engage with the Community
Since publishing findings in developer forums is part of the job, show your passion for the tech community. Mention any contributions you've made, such as articles, talks, or open-source projects. This will highlight your commitment to sharing knowledge and staying updated in the field.
