Accelerated Computing GPU Product Manager

Nvidia

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$258,750 / yr
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $213k
$157k $275k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $192,043–$250,833 — the blue band above. At the midpoint, this role pays about $213k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Accelerated Computing GPU Product Manager

The Accelerated Computing GPU Product Manager joins a small, dynamic team focused on defining the next generation of products for high-growth markets. This role involves defining GPU products for the Data Center, specifically addressing customer needs for Large Language Models during training and inference. You will translate these needs into compelling GPU value propositions and product proposals while working cross-functionally with engineering, operations, and field teams to develop go-to-market plans and product positioning. Key responsibilities include creating sales collateral and tools. The role requires expertise in GPU, software, and computing architectures, along with experience in AI-related engineering, design, or development. You must understand datacenter workloads and be capable of making sophisticated trade-offs while collaborating closely with cloud partners to bring accelerated computing systems to market.

What you'll do

  • Develop a deep understanding of datacenter workloads and applications, specifically for Large Language Model training and inference.
  • Identify opportunities to address customer needs and translate them into GPU value propositions and product proposals.
  • Define the next generation of GPU products for high-growth data center markets.
  • Develop comprehensive product go-to-market plans and product positioning with cross-functional partners.
  • Create effective sales collateral and tools in coordination with the sales organization.
  • Explain complex GPU, software, and computing architectures to various stakeholders.
  • Work closely with cloud partners to align on infrastructure and technology requirements.

What we're looking for

  • 7+ years of total experience in technology.
  • Previous experience in product management, AI related engineering, design, or development is highly valued.
  • BS or MS in engineering, computer science, or another technical field, or equivalent experience.
  • MBA is a plus (preferred).
  • Knowledge of, and capability to explain, GPU, software, and computing architectures.
  • Ability to work closely with cloud partners.
  • Strong background in developing or deploying large scale GPU based AI applications like LLMs (preferred).
  • Direct experience in building or leading cloud computing infrastructure and technologies (preferred).

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