GPU AI & HPC Optimization Intern

NVIDIA Corporation; Zürich; On-site; CHF 17,000 - 23,000; Full time

Job summary

NVIDIA Corporation is offering an internship in the Data Processing Developer Technology team in Switzerland, Zürich. The role focuses on researching parallel algorithms to accelerate AI and data processing workloads on advanced computer architectures, with emphasis on GPU acceleration.

You will work with industry and academia to analyze and optimize AI/HPC algorithms for optimal performance on CPU and GPU platforms, and publish techniques in blogs or conferences.

Qualifications

• Pursuing a Master’s or PhD in CS/Engineering or related field.
• Strong programming skills in C/C++ and software development fundamentals.
• Experience with parallel programming (CUDA, OpenMP, MPI, pthreads).
• Excellent communication, organization, and problem-solving abilities.

Responsibilities

• Research and develop parallel techniques to accelerate AI and data processing workloads on CPU/GPU architectures.
• Collaborate with industry and academia to analyze and optimize complex AI/HPC algorithms.
• Publish and present optimization techniques in developer blogs or conferences to educate the community.
• Influence future hardware/software design in collaboration with multiple NVIDIA teams.

Skills

C/C++ programming

Parallel programming

Problem solving

Communication skills

Education

Master's or PhD in CS/CE

Tools

CUDA toolkit

OpenMP

MPI

Job description

NVIDIA Corporation is offering an internship in the Data Processing Developer Technology team in Switzerland, Zürich. The role focuses on researching parallel algorithms to accelerate AI and data processing workloads on advanced computer architectures, with emphasis on GPU acceleration.

You will work with industry and academia to analyze and optimize AI/HPC algorithms for optimal performance on CPU and GPU platforms, and publish techniques in blogs or conferences.