GPU Computing & HPC Intern

NVIDIA Corporation; Courbevoie; On-site; EUR 42,000 - 52,000; Full time

Job summary

NVIDIA Corporation in Courbevoie, Île-de-France is seeking enthusiastic computer science researchers to join the Compute Developer Technology team. This role focuses on researching and developing GPU-accelerated techniques for high-performance computing, with opportunities to contribute to next-generation architectures and software platforms.

The position targets MSc or PhD candidates, requires fluency in C/C++ (and Fortran) and experience with parallel programming (CUDA C/C++ and OpenACC).

Qualifications

• Pursuing a MSc or preferably PhD in engineering or computer science.
• Domain expertise in telecommunications, medical imaging, ML, DL, or natural sciences is helpful.

Responsibilities

• Research and develop GPU-accelerated techniques for HPC applications.
• Analyze and optimize performance on current and next-generation GPU architectures.
• Collaborate with architecture, research, libraries, tools and system software teams to influence designs.

Skills

C/C++

Fortran

Parallel programming

Communication

Education

MSc/PhD candidate

Tools

CUDA C/C++

OpenACC

Job description

NVIDIA Corporation in Courbevoie, Île-de-France is seeking enthusiastic computer science researchers to join the Compute Developer Technology team. This role focuses on researching and developing GPU-accelerated techniques for high-performance computing, with opportunities to contribute to next-generation architectures and software platforms.

The position targets MSc or PhD candidates, requires fluency in C/C++ (and Fortran) and experience with parallel programming (CUDA C/C++ and OpenACC).