GPU Compute & Parallel Tech Intern

NVIDIA Corporation; Zürich; Vor Ort; CHF 28.000 - 42.000; Vollzeit

Zusammenfassung

NVIDIA Corporation in Zürich seeks MSc or PhD students to join the Compute Developer Technology team, crafting and optimizing core parallel algorithms using GPUs and contributing to libraries and applications.

Ideal candidates are pursuing advanced degrees, proficient in C/C++ (and Fortran), with CUDA C/C++ and OpenACC experience, strong math fundamentals, and excellent communication and organization skills.

Qualifikationen

• Pursuing MSc or PhD in engineering or computer science.
• Programming fluency in C/C++ and/or Fortran with deep understanding of software design.
• Strong mathematical fundamentals: linear algebra and numerical methods.
• Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
• Strong communication and organization skills.

Aufgaben

• Collaborate with application developers to craft and optimize core parallel algorithms and data structures for GPUs.
• Partner with architecture, research, libraries, tools, and system software teams to influence next-generation architectures and programming models.

Kenntnisse

C/C++

Fortran

CUDA C/C++

OpenACC

Parallel programming

Ausbildung

Pursuing MSc or PhD in CS/Engineering

Tools

CUDA Toolkit

OpenACC

Jobbeschreibung

NVIDIA Corporation in Zürich seeks MSc or PhD students to join the Compute Developer Technology team, crafting and optimizing core parallel algorithms using GPUs and contributing to libraries and applications.

Ideal candidates are pursuing advanced degrees, proficient in C/C++ (and Fortran), with CUDA C/C++ and OpenACC experience, strong math fundamentals, and excellent communication and organization skills.