Requirements:

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.

What you'll be doing:

Study and develop cutting-edge techniques in machine learning, graphs, data analytics and deep learning, 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.