AI Software Architect Intern, CUDA

2 weeks ago

Shanghai, Shanghai, China NVIDIA Full time

We are seeking an AI Software Architect Intern, CUDA to join our Compute Developer Technology team. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer Science Fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI computing company."

What you will be doing:

  • Work and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
  • You will provide the best AI solutions using GPUs working directly with key customers.
  • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models.

What we need to see:

  • Available to work as intern for at least 2 months+, 3 days per week.
  • Pursuing MS or PhD from a leading University in an engineering or Computer Science related discipline and will graduate in 2024.
  • Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
  • Experience with parallel programming, ideally CUDA C/C++.
  • Good communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

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