GPU DevTech Intern: HPC & CUDA Research

NVIDIA Corporation; La Boissière-des-Landes; Sur place; EUR 32 000 - 42 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Comprehensive benefits

Résumé du poste

NVIDIA Corporation is looking for world-class computer science students to join the Compute Developer Technology team in France. You will research and develop GPU-accelerated techniques for high performance computing, collaborating across architecture, research, libraries, and tools teams to optimize performance for next‑gen GPUs.

The role targets MSc or PhD candidates with strong C/C++ or Fortran, parallel programming experience, and solid mathematical foundations.

Qualifications

• Pursuing MSc or PhD in engineering or computer science; domain knowledge helpful.
• Fluent in C/C++ and/or Fortran with solid software design and algorithms.
• Strong mathematical background including linear algebra and numerical methods.
• Experience with parallel programming, CUDA C/C++ and OpenACC preferred.

Responsabilités

• Research and develop GPU-accelerated techniques for HPC applications.
• Analyze and optimize performance on current and future GPU architectures.
• Collaborate with NVIDIA teams to influence architectures, libraries and programming models.

Connaissances

C/C++

Fortran

CUDA C/C++

OpenACC

Parallel programming

Communication

Formation

MSc or PhD in engineering or computer science

Description du poste

NVIDIA Corporation is looking for world-class computer science students to join the Compute Developer Technology team in France. You will research and develop GPU-accelerated techniques for high performance computing, collaborating across architecture, research, libraries, and tools teams to optimize performance for next‑gen GPUs.

The role targets MSc or PhD candidates with strong C/C++ or Fortran, parallel programming experience, and solid mathematical foundations.