Senior System Architect, GPU

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA · Redmond, WA
Salary
$184,000–$287,500 / yr
Posted
148 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $236k
$151k most similar roles pay here $302k

This role pays more than 84% of similar roles. Most pay $175,500–$235,750 — the shaded band above. At the midpoint, this role pays about $236k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior System Architect, GPU

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NVIDIA is seeking a senior system architect to join its cutting-edge GPU development team, where you will drive innovation by defining future aspects of the company’s GPU architecture. Your daily responsibilities include developing and enhancing GPU architecture innovations, benchmarking configurations for optimal data center workloads, and creating performance simulators and analysis tools. You will collaborate closely with various teams to document specifications, review trade-offs, and track progress on architectural improvements. Ideal candidates hold a Master’s or PhD in Computer Engineering or related fields, along with extensive experience in GPU architecture development. Proficiency in Python and Excel for data analysis is essential, as well as deep knowledge of accelerated computing requirements and modern packaging technologies. Strong communication skills and the ability to work effectively in a dynamic team environment are crucial.

Skills

Python Excel GPU CPU AI Data_center_requirements Performance_bottlenecks TCO Power_Delivery_Network DC_Networking Off_chip_IO Memory_subsystem Network_on_Chip Reset_and_boot DFT Power_management Modern_packaging_technologies

What you'll do

  • Develop GPU architecture innovations to optimize scalability, performance, and power efficiency.
  • Benchmark GPU configurations using advanced packaging techniques for future data center workloads.
  • Enhance architecture analysis infrastructure by developing performance simulators and testbench components.
  • Analyze application workloads and simulation results to identify areas for architectural improvements.
  • Document architecture specifications and collaborate with cross-functional teams on trade-offs and solutions.

What we're looking for

  • Master’s or PhD in Computer Engineering, Science, or related field.
  • At least 8 years of experience in GPU or CPU system architecture development.
  • Proficiency in data analysis tools like Python and Excel for performance metrics.
  • Deep understanding of accelerated computing requirements and trade-offs.
  • Expertise in analyzing performance scaling and bottlenecks for AI workloads.
  • Knowledge of modern packaging technologies and their costs/benefits.
  • Strong communication skills and ability to collaborate across teams.

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