- NVIDIA
- Taiwan,
- Full-Time
- 32 days ago
Developer Technology Engineering Intern, HPC and AI - 2027.
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Developer Technology Engineering Intern, HPC and AI - 2027: our view in 3 lines...
- The Role:An intern role for an engineering or computer science student focused on HPC and AI work with GPU architectures at NVIDIA.
- The Person:The person will analyse and optimise performance on current and next-generation GPU architectures, work with key customers, and collaborate with architecture, research, libraries, tools, and system software teams.
- Requirements:The ideal candidate is pursuing a BS degree in an engineering or computer science related discipline, with MS or PhD preferred, and has expert mathematical fundamentals, strong knowledge of Fortran and/or C/C++, and experience with parallel programming, OpenACC and CUDA C/C++.
About the role
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:
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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.
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Work directly with key customers to understand the current and future problems they are solving.
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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:
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Pursuing BS degree from university in an engineering or computer science related discipline (MS or PhD preferred).
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Expert mathematical fundamentals, including linear algebra and numerical methods.
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Strong knowledge of Fortran and/or C/C++.
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Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
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Experience with parallel programming, ideally OpenACC and CUDA C/C++.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

