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Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer.
What you will be doing:
Study and develop cutting-edge 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.
Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
What we need to see:
A Masters degree or PhD in an engineering or computer science related discipline and 3+ years of relevant work or research experience.
Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
Firsthand work experience with parallel programming, ideally CUDA C/C++.
Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Some travel is required for conferences and for on-site visits with developers.
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