NVIDIA
Developer Technology Engineering Intern - Compute Performance
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Opportunity at NVIDIA
NVIDIA is hiring passionate, world-class computer science students to work in its Compute Developer Technology (Devtech) team. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast in some of the hottest and state-of-the-art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing, and more. Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you.
What You Will Be Doing
In this role, you will research and develop techniques to GPU-accelerate leading applications in high-performance computing fields within scientific computing, computational engineering, and data science. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures. This involves:
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Working directly with key application developers to understand the current and future problems they are solving.
- Crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both library development and direct contribution to the applications.
- Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer productivity.
What We Need to See
- Pursuing a MSc or preferably PhD degree in an engineering or computer science-related discipline. While not a requirement, domain expertise in telecommunications, medical imaging, machine learning, deep learning, or natural sciences is helpful.
- Programming fluency in C/C++ and/or Fortran with a deep understanding of software design, programming techniques, and algorithms.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
- Strong communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London