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Über diese Accelerated Computing GPU Product Manager Stelle bei NVIDIA

NVIDIA · Vor Ort · US, CA, Santa Clara

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!

What you'll be doing:

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. 

  • 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 

What we need to see: 

  • 7+ 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

  • Ability to work closely with cloud partners

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

  • Exposure to bringing accelerated computing systems to market

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 5, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Über NVIDIA

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA .

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