GPU AI Acceleration Research Intern

NVIDIA; La Boissière-des-Landes; On-site; EUR 17,000 - 23,000; Full time

Job summary

NVIDIA is offering an internship in the Data Processing Developer Technology team in France. You will research parallel algorithms to accelerate AI and data processing workloads on modern CPU/GPU architectures, collaborating with researchers and industry partners.

You will publish findings and help influence hardware and software design while pursuing a Master or PhD in CS/CE. Strong C/C++ and parallel programming skills are required.

Qualifications

• Pursuing a Master or PhD in CS/CE.
• Strong C/C++ programming and algorithms knowledge.
• Experience with parallel programming frameworks (CUDA, OpenACC, OpenMP, MPI, Pthreads).

Responsibilities

• Research and develop techniques to GPU accelerate workloads in AI/ML and related domains.
• Collaborate with experts to analyze and optimize complex AI/HPC algorithms.
• Publish and present optimization techniques in blogs or conferences.
• Contribute to the design of future hardware architectures and software models.

Skills

C/C++ programming

Parallel programming

Algorithms

Communication skills

Education

Master or PhD candidate in CS/CE

Tools

CUDA

OpenACC

OpenMP

MPI

Pthreads

Job description

NVIDIA is offering an internship in the Data Processing Developer Technology team in France. You will research parallel algorithms to accelerate AI and data processing workloads on modern CPU/GPU architectures, collaborating with researchers and industry partners.

You will publish findings and help influence hardware and software design while pursuing a Master or PhD in CS/CE. Strong C/C++ and parallel programming skills are required.