Senior Accelerated Computing GPU Product Manager

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 168,000 - 258,750; Full time

Job summary

NVIDIA Gruppe in Santa Clara is seeking an experienced Product Manager to lead AI-focused product initiatives. You will develop in-depth understanding of datacenter workloads, especially around Large Language Models, and collaborate cross-functionally to position products effectively.

Candidates should have 6+ years of relevant experience, preferably in product management or AI development, and possess strong knowledge of GPU architectures. The position offers a competitive salary range based on experience and location, along with equity and benefits.

Qualifications

• 6+ years of experience in technology with product management or AI-related roles.
• Demonstrated ability to contribute within 3 months in relevant areas.
• Strong desire to learn and tackle complex problems.

Responsibilities

• Understand datacenter workloads and applications, especially Large Language Models.
• Develop compelling GPU value propositions and product proposals.
• Collaborate with partners to create go-to-market plans and product positioning.
• Create effective sales collateral and tools with the sales organization.

Skills

Product management

AI development

Cross-functional collaboration

GPU architecture knowledge

Education

BS or MS in Engineering or Computer Science

MBA

Job 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!

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 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:

• 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

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
• Strong background in building or leading cloud computing infrastructure and technologies

Benefits:

• 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.

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.