Senior Accelerated Computing GPU Product Manager at NVIDIA
Santa Clara, CA 95050, USA -
Full Time


Start Date

Immediate

Expiry Date

20 Jul, 25

Salary

327750.0

Posted On

09 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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! Today, we’re tapping into the unlimited potential of AI 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, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
NVIDIA’s Accelerated Computing team sits 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 consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.

WHAT WE NEED TO SEE:

  • 6+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
  • BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
  • 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, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Responsibilities
  • 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 value proposition and product proposals
  • Work cross 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
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