AI/HPC Acceleration Intern - GPU Parallelism

NVIDIA

Courbevoie

On-site

EUR 12,000 - 16,000

Full time

29 hours ago

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Job summary

NVIDIA is seeking an internship in the Data Processing Developer Technology team to research parallel algorithms accelerating AI and data processing workloads on advanced computer architectures. You will partner with the developer community, analyze and optimize AI and HPC algorithms for modern CPU/GPU platforms, and publish findings to blogs or conferences.

This internship offers exposure to hardware design collaboration and opportunities to influence next-generation architectures.

Qualifications

Currently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree.
Programming fluency in C/C++ with a deep understanding of algorithms and software development.
A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

Responsibilities

Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
Collaborate with industry and academia to optimize AI and HPC algorithms for CPU and GPU architectures.
Publish and/or present optimization techniques in developer blogs or conferences to engage the developer community.
Influence the design of next-generation hardware architectures, software, and programming models with multiple NVIDIA teams.