Senior AI GPU Product Manager – Data Center, Equity

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

Job summary

NVIDIA's Accelerated Computing team is seeking a seasoned product manager for Data Center GPU solutions. You will own the end-to-end definition of AI-focused GPU products, understanding datacenter workloads, and shaping GTM plans.

Collaborate with engineering, sales, and field teams to translate customer needs into compelling value propositions, and contribute to roadmaps. A BS/MS in engineering or CS and 6+ years in tech with product management or AI-related experience are required.

Qualifications

• 6+ years of total experience in technology with prior product management or AI-related engineering/design experience valued.
• Knowledge of GPU, software and computing architectures.
• MBA a plus and ability to contribute in multiple areas within 3 months.

Responsibilities

• Develop deep understanding of datacenter workloads and AI applications for training and inference.
• Identify opportunities to address customer needs with compelling GPU value propositions and product proposals.
• Collaborate cross-functionally with partners, engineering, operations and field teams to craft go-to-market plans and product positioning.
• Work with the sales organization to develop effective sales collateral and tools.

Skills

Product management

AI/ML engineering

GPU architectures

Computing architectures

Cross-functional collaboration

Trade-off analysis

Education

BS or MS in engineering/computer science or related technical field

Job description

NVIDIA's Accelerated Computing team is seeking a seasoned product manager for Data Center GPU solutions. You will own the end-to-end definition of AI-focused GPU products, understanding datacenter workloads, and shaping GTM plans.

Collaborate with engineering, sales, and field teams to translate customer needs into compelling value propositions, and contribute to roadmaps. A BS/MS in engineering or CS and 6+ years in tech with product management or AI-related experience are required.