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NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
What You'll Be Doing:
Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both reference code development and direct contribution to the applications.
Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency.
Need to travel from time to time for conferences and for on-site visits with developers.
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.
Experience with parallel programming, ideally CUDA C/C++.
Strong knowledge of C/C++, software design, programming techniques, and algorithms.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Very good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Proficiency in a specific domain, such as Deep Learning, Machine Learning, and Natural Language Processing (NLP)
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