AI GPU Product Manager - Data Center & LLM

NVIDIA; United States; On-site; USD 168,000 - 328,000; Full time

Job summary

NVIDIA is seeking a seasoned product leader to drive GPU product definitions for Data Center, with a track record in AI and machine learning initiatives. You will own market understanding, partner with engineering, sales, and operations to shape go-to-market plans and compelling value propositions.

In this role, you will explain GPU architectures, work with cloud partners, and influence product direction for high-growth AI workloads.

Qualifications

• 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.

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.

Skills

Product management

AI/ML experience

Cross-functional collaboration

Education

BS in Engineering/CS

MS in Engineering/CS

MBA

Job description

NVIDIA is seeking a seasoned product leader to drive GPU product definitions for Data Center, with a track record in AI and machine learning initiatives. You will own market understanding, partner with engineering, sales, and operations to shape go-to-market plans and compelling value propositions.

In this role, you will explain GPU architectures, work with cloud partners, and influence product direction for high-growth AI workloads.