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 development.
- Benefits: Gain hands-on experience, mentorship, and exposure to industry breakthroughs.
- Other info: Diverse and inclusive workplace with opportunities for growth and learning.
- Why this job: Make an impact in AI and work with top experts in the field.
- Qualifications: Pursuing a PhD or Master’s in Computer Science or related field; programming skills in C/C++.
The predicted salary is between 20000 - 30000 € per year.
We’re currently seeking an internship position in the Data Processing Developer Technology team. Would you enjoy researching parallel algorithms to accelerate AI and data processing 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?
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 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’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.
- 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 prides itself as 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. Applications will be accepted until November 8, 2025. 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
NVIDIA is an exceptional employer, offering a dynamic internship experience in the cutting-edge field of data processing and AI technology. With a strong commitment to employee growth, you will have the opportunity to collaborate with industry experts, engage in meaningful research, and contribute to groundbreaking advancements in computer architecture. Our inclusive work culture fosters innovation and diversity, 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 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! If you’ve worked on relevant projects, create a portfolio or GitHub repository showcasing your work with parallel algorithms or AI. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++ programming skills and understanding of algorithms. Practice coding challenges that focus on parallel programming concepts to impress your interviewers.
✨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 at NVIDIA. Get your application in early to stand out!
We think you need these skills to ace Data Processing Developer Technology Intern - 2026 in Bristol
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming fluency in C/C++ and any experience with parallel programming. We want to see how your skills align with the role, so don’t hold back on showcasing your technical expertise!
Tailor Your Application:Take a moment to customise your application for this specific internship. Mention your interest in AI and data processing workloads, and how your background fits into the exciting work we do at StudySmarter. It’ll make you stand out!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate effective communication, so make sure your thoughts are organised and easy to follow. This will show us your logical approach to problem-solving!
Apply Early!:Don’t wait until the last minute to submit your application. We review applications on a rolling basis, so applying early gives you a better chance of being noticed. Head over to our website and get your application in!
How to prepare for a job interview at Nvidia
✨Know Your Algorithms
Make sure you brush up on your knowledge of parallel algorithms and their applications in AI. Be ready to discuss specific examples where you've implemented or optimised these algorithms, especially in C/C++. This will show your technical prowess and understanding of the role.
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've done, particularly those involving GPU acceleration or deep learning. Highlight your contributions and the impact they had. This not only demonstrates your skills but also your passion for the field.
✨Communicate Clearly
Effective communication is key, especially when discussing complex topics like performance optimisation. Practice explaining your work in simple terms, as if you're talking to someone outside your field. This will help you connect with the interviewers and showcase your organisational skills.
✨Engage with the Developer Community
Familiarise yourself with current trends and discussions in the developer community related to AI and HPC. Mention any blogs, conferences, or forums you follow or contribute to. This shows your enthusiasm for the industry and your willingness to engage with others in the field.
