Senior GPU Product Manager, Accelerated Computing

Posted 10 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Product Manager will develop an understanding of datacenter workloads, especially for Large Language Models, address customer needs, and create product proposals. They will work cross-functionally to develop go-to-market plans and collaborate with sales teams for product positioning and collateral.
Summary Generated by Built In

We are now seeking a Senior Product Manager to join our Accelerated Computing team, which is continuously innovating the next GPU products for modern Data Centers. We are a small, dynamic, and motivated team that defines the next generation of products for high growth tech markets. Do you have a passion for being a part of the latest technologies leading the world in Generative AI and HPC? Then we'd love to hear from you!

What you will be doing:

  • Developing a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference

  • Finding opportunities where we uniquely can address customer needs, and translating these into compelling GPU value proposition and product proposals

  • Working cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning

  • Working with our sales organization to develop effective sales collateral and tools

What we need to see:

  • 6+ years of experience in technology with previous product management, AI related engineering, design or development experience.

  • BS or MS in engineering, computer science, or another technical field. MBA a plus; or equivalent experience.

  • Proven 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

Ways to stand out from the crowd:

  • Direct experience 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

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. We have 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. 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!

#LI-Hybrid

The base salary range is 160,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

#deeplearning

Top Skills

Gpu
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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