Developer Technology Engineering Intern, HPC and AI - 2027

NVIDIA is hiring a Developer Technology Engineering Intern, HPC and AI - 2027 in Taipei, Taiwan. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include CUDA, Openacc and Fortran.
Level classifies it as an internship.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Develop data analytics and optimize GPU architectures for HPC and AI workloads as an engineering intern.

CUDAOpenaccFortranCGPU

hpcperformance-optimizationdata-analyticsparallel-programming

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:

Pursuing 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 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.

How we rate this

Developer Technology Engineering Intern, HPC and AI - 2027 at NVIDIA rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Developer Technology Engineering Intern, HPC and AI - 2027 is an open job at NVIDIA.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Taiwan, Taipei.
The job was posted on September 1, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

HpcPerformance OptimizationData AnalyticsParallel ProgrammingCUDAOpenaccFortranC

Questions you could be asked

Tell me about a project where hpc was part of your work. What did you do?
Tell me about a project where performance optimization was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where parallel programming was part of your work. What did you do?
Walk me through how you've used CUDA in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Hpc, Performance Optimization, Data Analytics, Parallel Programming, and CUDA. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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