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For Companies At a Glance
- Tasks: Research and develop techniques to accelerate AI workloads on cutting-edge hardware.
- Company: Join NVIDIA, a leader in technology breakthroughs and innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Make a real impact in AI by optimising performance on next-gen architectures.
- Qualifications: Advanced degree in Computer Science and 15+ years of relevant experience required.
- Other info: Collaborate with top experts and influence future hardware designs.
The predicted salary is between 43200 - 72000 £ per year.
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.
What You Will Be Doing
- Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.
- Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
What We Need To See
- An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
- 15+ years of relevant experience in software development or research work.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
- Hands-on experience doing low-level performance optimizations.
- In-depth expertise with CPU and GPU architecture fundamentals.
- Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.
Ways To Stand Out From The Crowd
- Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.
- Excellent understanding of linear algebra.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal AI Developer Technology Engineer in Bristol employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Developer Technology Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at NVIDIA or similar companies. Attend meetups, webinars, or conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving parallel algorithms or GPU acceleration. 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++ programming and algorithm knowledge. Practice coding challenges and be ready to discuss your past experiences with performance optimizations and AI workloads.
✨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, it shows you’re genuinely interested in joining the team at NVIDIA.
We think you need these skills to ace Principal AI Developer Technology Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and parallel programming. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. Let us know what drives you in the world of AI and technology.
Showcase Your Communication Skills: Effective communication is key in this role. When writing your application, keep it clear and concise. We appreciate a logical approach, so structure your thoughts well and make it easy for us to follow your ideas.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Nvidia
✨Know Your Algorithms
Brush up on your knowledge of parallel algorithms and how they can accelerate AI workloads. Be ready to discuss specific examples from your past work where you identified and eliminated bottlenecks, showcasing your problem-solving skills.
✨Showcase Your Programming Skills
Make sure you're fluent in C/C++ and can talk about your experience with parallel programming frameworks like CUDA or OpenMP. Prepare to explain how you've optimised performance at a low level, as this will be crucial for the role.
✨Engage with the Developer Community
Think about how you can contribute to the developer community through blogs or presentations. Have a few ideas ready on optimisation techniques you've discovered that could benefit others, as this shows your willingness to share knowledge.
✨Understand the Hardware
Familiarise yourself with modern CPU and GPU architectures. Be prepared to discuss how your expertise can influence the design of next-generation hardware and software, demonstrating your forward-thinking approach and technical depth.
