Developer Technology Engineer Intern, HPC - 2026

Description du poste:

We are looking for Developer Technology Engineer Intern - HPC to join our team.

For more than two decades, NVIDIA has pioneered at the art and science of visual computing. With our invention of the GPU - the engine of modern parallel computing - the field has expanded to encompass gaming, professional visualization, data center and automobile. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. There has never been a more exciting time to join our team than now.

What you'll be doing:
* Study and develop data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.
* Work directly with key customers to understand the current and future problems they are solving.
* Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.

What we need to see:
* BS degree from university in an engineering or computer science related discipline (MS or PhD preferred).
* Expert mathematical fundamentals, including linear algebra and numerical methods.
* Strong knowledge of Fortran and/or C/C++.
* Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
* Experience with parallel programming, ideally OpenACC and CUDA C/C++.

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 on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you