GPU AI & HPC Optimization Intern

NVIDIA; Zürich; On-site; CHF 17,000 - 30,000; Full time

Job summary

NVIDIA in Switzerland offers an internship in the Data Processing Developer Technology team. You will research and develop techniques to speed up AI workloads on modern CPU and GPU architectures, collaborating with experts from industry and academia to optimize complex algorithms.

You will publish findings in developer blogs or conferences and help shape future hardware/software designs in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

Qualifications

• Currently pursuing a PhD or Master degree in CS/CE or related field.
• Fluent in C/C++ with strong algorithms knowledge.
• Experience with parallel programming and GPU acceleration.

Responsibilities

• Research and develop techniques to GPU accelerate workloads in deep learning and AI.
• Collaborate with researchers and industry/academia to optimize AI/HPC algorithms on CPU/GPU architectures.
• Publish optimization techniques in developer blogs or relevant conferences.
• Influence hardware/software designs with NVIDIA teams across research, hardware, system software, libraries and tools.

Skills

C/C++

Parallel programming

CUDA

OpenACC

OpenMP

MPI

Pthreads

Education

Master's degree in Computer Science/Engineering

PhD in a related field

Job description

NVIDIA in Switzerland offers an internship in the Data Processing Developer Technology team. You will research and develop techniques to speed up AI workloads on modern CPU and GPU architectures, collaborating with experts from industry and academia to optimize complex algorithms.

You will publish findings in developer blogs or conferences and help shape future hardware/software designs in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.