Data Center GPU Performance Engineer – Product

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 136 days ago $148,000–$224,250 / year
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At a glance

AI generated

TL;DR

Join NVIDIA's Accelerated Computing team as a Senior Product Manager or equivalent level position, where you will guide the architecture of next-generation GPUs by understanding how GPU design impacts performance in data center applications, particularly Large Language Models (LLMs). You will analyze trends and research to identify innovation opportunities and translate them into product proposals that address customer needs. Your role involves developing economic models for data center workloads and presenting sophisticated analyses to both technical and non-technical stakeholders. Ideal candidates have over five years of experience in technology, with a focus on AI engineering or product management, and possess deep knowledge of GPU architecture, machine learning, and LLMs. Strong skills in modeling workload performance using GPU and system architecture are essential, along with the ability to stay updated on deep learning research and manage multiple projects simultaneously.

Skills

GPU Machine Learning Deep Learning LLM Architecture Data Center Workloads FLOPS Bandwidths Generative AI Performance Engineering Hardware Architecture CI/CD

What you'll do

  • Guide the architecture of next-gen GPUs by understanding how GPU design impacts data center application performance.
  • Analyze trends in DL research and competitive landscapes to drive innovation in GPU and system architectures.
  • Translate customer needs into compelling product proposals for GPU value propositions.
  • Develop models on the economics of data center workloads, including total cost of operation and token revenues.
  • Articulate complex analyses clearly for both technical and non-technical stakeholders.

What we're looking for

  • Over 5 years of experience in technology with product management or AI engineering/design/development.
  • BS or MS in engineering, computer science, or a technical field; MBA preferred.
  • Deep understanding of GPU architecture and its impact on ML/DL performance.
  • Ability to analyze data center workload trends and develop economic models for GPU applications.
  • Experience developing or deploying large-scale GPU-based AI applications like LLMs.
  • Strong collaboration skills with diverse teams including hardware architects and product managers.

Market check

Salary context

This $148,000–$224,250 range sits above 45% of similar postings on FindRole.

Peer median band

$152,000–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$148,500–$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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