At a Glance
- Tasks: Research and develop techniques to accelerate AI workloads using cutting-edge GPU technology.
- Company: Join NVIDIA, a leader in AI and GPU innovation.
- Benefits: Gain hands-on experience, collaborate with experts, and enhance your skills in a dynamic environment.
- Other info: Diverse and inclusive workplace with opportunities for growth and learning.
- Why this job: Make an impact on next-gen hardware and software while advancing your career in tech.
- Qualifications: Pursuing a PhD or Master's in Computer Science or related field; programming fluency in C/C++.
The predicted salary is between 20000 - 30000 € per year.
In this position, you will 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:
- Currently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree.
- 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.
- 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.
Applications will be accepted until November 8, 2025.
Please note: We will be reviewing applications on a rolling basis as they are submitted. Strong candidates may be contacted for next steps before the application deadline. We encourage you to apply early.
Data Processing Developer Technology Intern - 2026 in Bristol employer: NVIDIA Corporation
NVIDIA is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Data Processing Developer Technology Intern, you will have the opportunity to work alongside leading experts in AI and HPC, contributing to cutting-edge projects while benefiting from extensive employee growth opportunities and a commitment to diversity. Located in vibrant cities like Courbevoie and Bristol, you will enjoy a stimulating environment that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Processing Developer Technology Intern - 2026 in Bristol
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees at NVIDIA. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to deep learning and GPU programming. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++ skills and algorithms. Practice coding challenges that focus on parallel programming techniques, as this will be key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Data Processing Developer Technology Intern - 2026 in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Processing Developer Technology Intern role. Highlight your programming skills in C/C++ and any experience with parallel programming techniques like CUDA or OpenMP. We want to see how your background aligns with what we need!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about deep learning and AI. Share specific examples of projects or experiences that showcase your problem-solving skills and technical expertise. We love a good story!
Show Off Your Communication Skills:Effective communication is key in this role. In your application, demonstrate your ability to explain complex concepts clearly. Whether it's through your CV, cover letter, or any additional materials, let us see how you can engage and educate others.
Apply Early Through Our Website:Don’t wait until the last minute! We review applications on a rolling basis, so applying early gives you a better chance. Head over to our website to submit your application and make sure you stand out from the crowd!
How to prepare for a job interview at NVIDIA Corporation
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in C/C++. Understand algorithms and parallel programming techniques like CUDA and OpenMP. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems, particularly in AI or HPC contexts. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your logical approach to problem-solving.
✨Communicate Clearly and Effectively
Since effective communication is key, practice explaining your technical knowledge in simple terms. You might be asked to present your ideas or findings, so being able to articulate them clearly will set you apart from other candidates.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in deep learning and GPU technologies. Being knowledgeable about current trends and how they relate to NVIDIA's work will demonstrate your genuine interest in the field and the company.
