Developer Technology Engineer Intern, HPC - 2026 at NVIDIA

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

0.0

Posted On

01 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Optimization, Fortran, C/C++, Parallel Programming, OpenACC, CUDA C/C++, Mathematical Fundamentals, Linear Algebra, Numerical Methods, Communication Skills, Organization Skills, Problem Solving, Time Management, Task Prioritization

Industry

Computer Hardware Manufacturing

Description

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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Study and develop data analytics, and perform in-depth analysis and optimization for GPU architectures. Collaborate with key customers and internal teams to influence the design of next-generation architectures and software platforms.