At a Glance
- Tasks: Research and develop techniques to accelerate AI workloads on cutting-edge hardware.
- Company: Join NVIDIA, a leader in technology innovation and diversity.
- Benefits: Gain hands-on experience, mentorship, and exposure to industry experts.
- Other info: Collaborate with top minds in a dynamic and inclusive environment.
- Why this job: Make a real impact on the future of AI and data processing.
- Qualifications: Pursuing a PhD or Master’s in Computer Science or related field.
The predicted salary is between 20000 - 30000 € per year.
We’re currently seeking an internship position in the Data Processing Developer Technology team. We want you to research parallel algorithms to accelerate AI and data processing workloads on advanced computer architectures, identify and eliminate system bottlenecks to achieve optimal performance on pioneering computer hardware, and partner with the developer community to drive technology breakthroughs. This role will help NVIDIA stay at the forefront of technology.
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 industry and academia to perform in-depth analysis and optimization of complex AI and HPC algorithms, ensuring optimal solutions on modern CPU and GPU architectures.
- Publish or present discovered optimization techniques in developer blogs or 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’s degree in Computer Science, Computer Engineering, or a related computationally focused science degree.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- Background in parallel programming such as CUDA, OpenACC, OpenMP, MPI, pthreads, or similar.
- 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 in NLP, computer vision, recommender systems, etc.
- Excellent understanding of linear algebra.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate 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.
Data Processing Developer Technology Intern - 2026 in Bristol employer: NVIDIA AI
NVIDIA is an exceptional employer for aspiring technology professionals, offering a dynamic internship experience that fosters innovation and collaboration in the cutting-edge field of AI and data processing. With a strong commitment to employee growth, you will have the opportunity to work alongside industry experts, engage in meaningful research, and contribute to groundbreaking advancements in technology. Our inclusive work culture encourages diversity and creativity, making NVIDIA a truly rewarding place to launch your career.
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 through LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to parallel algorithms, AI, or data processing. This is your chance to demonstrate your programming fluency in C/C++ and any experience with CUDA or similar technologies.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges that focus on algorithms and parallel programming. The more comfortable you are with these concepts, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team and ready to contribute to NVIDIA's cutting-edge projects.
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 highlights your relevant skills and experiences that align with the internship role. We want to see your programming fluency in C/C++ and any experience with parallel programming techniques like CUDA or OpenMP.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data processing, and how your background makes you a great fit for our team. Don’t forget to mention any projects or research that showcase your expertise.
Showcase Your Projects:If you've worked on any relevant projects, whether academic or personal, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve deep learning or performance optimization.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter family!
How to prepare for a job interview at NVIDIA AI
✨Know Your Algorithms
Make sure you brush up on your knowledge of parallel algorithms and their applications in AI and data processing. Be ready to discuss specific examples where you've implemented these techniques, as this will show your understanding and practical experience.
✨Showcase Your Programming Skills
Since programming fluency in C/C++ is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve algorithms and parallel programming concepts.
✨Communicate Clearly
Effective communication is key, especially when discussing complex topics like GPU acceleration and optimization techniques. Practice explaining your projects and findings in a clear and concise manner, as if you were presenting to a non-technical audience.
✨Engage with the Developer Community
Familiarise yourself with current trends and breakthroughs in the developer community related to AI and HPC. Being able to discuss recent advancements or share insights from relevant blogs or conferences can set you apart and show your passion for the field.
