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 experts.
- Other info: Diverse and inclusive environment with opportunities for growth.
- Why this job: Make an impact in AI and work with pioneering technologies.
- 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. 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 employer: Nvidia
NVIDIA is an exceptional employer for aspiring Data Processing Developer Technology Interns, offering a dynamic work culture that thrives on innovation and collaboration. With a commitment to employee growth, interns will have the opportunity to engage with cutting-edge technology and contribute to groundbreaking advancements in AI and data processing, all while being part of a diverse and inclusive team. Located at the forefront of technological breakthroughs, NVIDIA provides a unique environment where your contributions can directly influence the future of computing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Processing Developer Technology Intern - 2026
✨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. This can give you insider knowledge and potentially a referral!
✨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 get yourself ready for those tricky questions.
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your programming skills, especially in C/C++. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the internship and how your background in parallel programming can contribute to our team. Let your passion for technology come through!
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled complex problems, especially in AI or HPC algorithms. We love seeing how you approach challenges and find solutions!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and keep track of your application. Plus, it shows you’re serious about joining our team!
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 optimised performance or tackled system bottlenecks, as this will show your understanding of the role's requirements.
✨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 parallel programming techniques like CUDA or OpenMP.
✨Communicate Clearly
Effective communication is key, especially when discussing complex topics. Practice explaining your past projects or research in a clear and concise manner, as you'll need to engage with both technical experts and the developer community.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in AI and GPU technologies. Being able to discuss current trends or breakthroughs during your interview will demonstrate your passion for the field and your commitment to staying at the forefront of technology.
