Accelerated Computing GPU Product Manager

Details

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, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing — an era in which GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. The Accelerated Computing team drives Machine Learning, Artificial Intelligence, and High-Performance Computing product strategy for data center markets. This role focuses on GPU product definition for data center workloads, especially large-scale AI workloads such as Large Language Models for training and inference.

Responsibilities

• Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models for training and inference.
• Identify opportunities to address customer needs and translate them into compelling GPU value propositions and product proposals.
• Work cross-functionally with partners, engineering, operations, and field teams to develop comprehensive product go-to-market plans and product positioning.
• Collaborate with the sales organization to develop effective sales collateral and tools.
• Contribute to product definition for next-generation GPUs for data center and accelerated computing markets.

Requirements

• 5+ years of total experience in technology; 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 is a plus.
• Demonstrated ability to fully contribute in one or more of the areas above within 3 months.
• Knowledge of, and ability to explain, GPU, software, and computing architectures.
• Strong desire to learn, motivation to tackle complex problems, and ability to make sophisticated trade-offs.
• Ability to work closely with cloud partners.

Ways to stand out

• Strong background in developing or deploying large-scale GPU-based AI applications (e.g., Large Language Models) for training and inference.
• Direct experience in building or leading cloud computing infrastructure and technologies.
• Exposure to bringing accelerated computing systems to market.

Compensation & Benefits

• Base salary ranges by internal level:
  • Level 3: 144,000 USD - 218,500 USD
  • Level 4: 168,000 USD - 258,750 USD
• You will also be eligible for equity and benefits. See https://www.nvidia.com/en-us/benefits/ for details.

Additional information

• Applications for this job will be accepted at least until July 29, 2025.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. NVIDIA does not discriminate 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.