Senior Accelerated Computing GPU Product Manager

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $208,000–$327,750 / yr
Posted: 42 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k

This role $268k

$149k most similar roles pay here $347k

This role pays more than 88% of similar roles. Most pay $178,662–$242,312 — the shaded band above. At the midpoint, this role pays about $268k versus about $210k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Accelerated Computing GPU Product Manager

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As a Senior Accelerated Computing GPU Product Manager on the Accelerated Computing team, you will define next-generation products for high-growth markets including Machine Learning, Artificial Intelligence, and High-Performance Computing. You will develop a deep understanding of datacenter workloads, specifically regarding Large Language Models for training and inference, to translate customer needs into compelling GPU value propositions and product proposals. Your daily responsibilities include collaborating cross-functionally with engineering, operations, and field teams to create go-to-market plans and positioning while working with sales to develop collateral. The role requires expertise in GPU, software, and computing architectures. Ideal candidates possess over twelve years of experience in technology, with a background in AI-related engineering or design. You will solve complex problems involving cloud computing infrastructure and large-scale GPU-based applications to address critical datacenter needs for the evolving AI landscape.

Skills

GPU Large Language Models Machine Learning Artificial Intelligence High-Performance Computing Cloud Computing Datacenter Workloads Training and Inference Computing Architecture

What you'll do

Develop a deep understanding of datacenter workloads and applications for Large Language Model training and inference.
Identify opportunities to address customer needs and translate them into compelling GPU value propositions.
Create formal product proposals based on identified market needs and technical capabilities.
Collaborate cross-functionally with engineering, operations, and field teams to develop go-to-market plans.
Define product positioning for high-growth markets in the data center space.
Develop effective sales collateral and tools in coordination with the sales organization.

What we're looking for

Candidates must have at least 12 years of total experience in technology.
Experience in product management, AI engineering, design, or development is highly valued.
A BS or MS degree in engineering, computer science, or another technical field is required.
An MBA degree is considered a plus.
Candidates must be able to explain GPU, software, and computing architectures.
Experience developing or deploying large-scale GPU-based AI applications like Large Language Models is preferred.
A strong background in building or leading cloud computing infrastructure and technologies is preferred.
Ability to make sophisticated trade-offs and solve complex problems is required.

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