Senior GPU Product Manager, Accelerated Computing
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by phenomenal technology and amazing people. Today, we’re tapping into the unlimited potential of Artificial Intelligence to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.
NVIDIA's Accelerated Computing team is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High Performance Computing. We are looking for a highly capable individual with a proven track record in technology and the skills for GPU product definition for Data Center. We are a small, multifaceted, and motivated team that defines the next generation of products for these high growth markets.
What you'll be doing:
Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference.
Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU product proposals.
Work multi-functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning.
Work with our sales organization to develop effective sales collateral and tools.
What we need to see:
Demonstrated ability to fully contribute in one or more of the areas above within 3 months.
Knowledge of, and capable of explaining GPU, software and computing architectures.
Strong desire to learn, and motivated to tackle complex problems and the ability to make sophisticated trade-offs.
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
8+ years of total experience in technology with previous product marketing, product management, engineering or design experience highly valued.
Ways to stand out from the crowd:
Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference.
Direct experience in building or leading cloud computing infrastructure and technologies.