Data Center GPU PM for AI & LLMs (Equity)

NVIDIA Corporation; Santa Clara (CA); On-site; USD 240,000 - 380,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

NVIDIA Corporation is seeking a seasoned product leader for its Data Center GPU products. You will develop strategies around datacenter workloads, with emphasis on Large Language Models for training and inference, and translate customer needs into compelling GPU value propositions and product proposals.

You will work across engineering, operations and field teams to craft go-to-market plans and positioning, and collaborate with the sales teams to create effective collateral and tools.

Qualifications

• BS or MS in engineering, computer science, or another technical field. MBA a plus.
• 12+ years of total experience in technology with product management or AI-related engineering/design/development valued.
• Knowledge of GPU, software and computing architectures; ability to explain trade-offs and architectures.

Responsibilities

• Develop deep understanding of datacenter workloads, especially around Large Language Models, for training and inference.
• Identify opportunities to address customer needs and translate them into GPU value propositions and product proposals.
• Collaborate cross-functionally with partners, engineering, operations and field teams to create GTM plans and positioning.
• Work with the sales organization to develop effective sales collateral and tools.

Skills

GPU architectures

Product management

AI/ML knowledge

Education

BS/MS in engineering or CS

MBA (a plus)

Job description

NVIDIA Corporation is seeking a seasoned product leader for its Data Center GPU products. You will develop strategies around datacenter workloads, with emphasis on Large Language Models for training and inference, and translate customer needs into compelling GPU value propositions and product proposals.

You will work across engineering, operations and field teams to craft go-to-market plans and positioning, and collaborate with the sales teams to create effective collateral and tools.