Senior Accelerated Computing GPU Product Manager

Nvidia

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $208,000–$327,750 / yr
Employment: Full-time
Posted: 88 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $268k

$149k $347k

below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $177,250–$235,750 — the blue band above. At the midpoint, this role pays about $268k versus about $206k 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.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Accelerated Computing GPU Product Manager

Role Posting Log in to save

The Senior Accelerated Computing GPU Product Manager joins the Accelerated Computing team to define next-generation products for high-growth markets. This role focuses on the Data Center, where the individual will develop a deep understanding of datacenter workloads and applications, specifically regarding Large Language Models for training and inference. Key responsibilities include identifying opportunities to address customer needs, translating these into GPU value propositions and product proposals, and working cross-functionally with engineering, operations, and field teams to develop go-to-market plans and positioning. The candidate must possess knowledge of GPU, software, and computing architectures. Required skills include experience in technology, product management, and AI-related engineering or design. The role solves technical problems by making sophisticated trade-offs to support Machine Learning, Artificial Intelligence, and High-Performance Computing.

Skills

GPU Large Language Models Machine Learning Artificial Intelligence High-Performance Computing Cloud Computing Computing Architectures Training Inference datacenter workloads

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 GPU value propositions and product proposals.
Work cross-functionally with engineering, operations, and field teams to develop product go-to-market plans.
Define product positioning for the next generation of GPU products in high-growth markets.
Collaborate with the sales organization to develop effective sales collateral and tools.
Explain complex GPU, software, and computing architectures to various stakeholders.

What we're looking for

12+ 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 the ability to explain GPU, software, and computing architectures.
Demonstrated ability to contribute in product management, AI engineering, design, or development within 3 months.
Direct experience developing or deploying large-scale GPU-based AI applications like Large Language Models (preferred).
Strong background in building or leading cloud computing infrastructure and technologies (preferred).