GPU Compute Performance Intern: Parallel HPC & CUDA

InternHunt

Zürich

Vor Ort

CHF 18.000 - 23.000

Vollzeit

Vor 2 Tagen

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Zusammenfassung

NVIDIA is seeking a highly motivated MSc/PhD student to join the Compute Developer Technology team in Zurich as a Developer Technology Engineering Intern focused on Compute Performance. You will work on GPU-accelerated techniques, analyze bottlenecks, and contribute to high-performance software across scientific computing and data science.

You'll collaborate with architecture, libraries and system software teams, improve parallel algorithms, and gain hands-on experience with CUDA C/C++ and

Qualifikationen

Pursuing MSc or preferably PhD in engineering or CS.
Domain expertise in telecommunications, medical imaging, machine learning, deep learning, or natural sciences is helpful.
Strong programming skills in C/C++ and Fortran with good software design knowledge.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Experience with parallel programming, ideally CUDA C/C++ and OpenACC.

Aufgaben

Research and develop GPU-accelerated techniques for HPC in scientific computing, computational engineering, and data science.
Perform in-depth analysis and optimization to maximize performance on current and next-generation GPU architectures.
Collaborate with architecture, research, libraries, tools, and system software teams to influence future architectures and software platforms.

Kenntnisse

C/C++

Fortran

Parallel programming

CUDA C/C++

OpenACC

Mathematics

Communication

Ausbildung

MSc or PhD in Engineering or Computer Science

Tools

CUDA