This role pays more than
52%
of similar roles. Most pay
$182,575–$245,303
— the shaded band above.
At the midpoint, this role pays about
$213k
versus about
$214k
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.
As an Accelerated Computing GPU Product Manager, you will join a small, dynamic team focused on defining the next generation of products for high-growth markets like Machine Learning, Artificial Intelligence, and High-Performance Computing. You will be responsible for developing a deep understanding of datacenter workloads, specifically regarding Large Language Models for training and inference. Your daily work involves identifying opportunities to address customer needs, translating those into compelling GPU value propositions, and creating product proposals. You will collaborate cross-functionally with engineering, operations, field teams, and cloud partners to develop go-to-market plans and sales collateral. The role requires expertise in GPU, software, and computing architectures. Ideal candidates possess a technical background in computer science or engineering and experience in deploying large-scale GPU-based AI applications or building cloud computing infrastructure.
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architecture
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architectures