Senior GPU Architect

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 32 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 $209k

This role $236k

$154k most similar roles pay here $302k

This role pays more than 74% of similar roles. Most pay $177,250–$240,000 — the shaded band above. At the midpoint, this role pays about $236k versus about $209k 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 GPU Architect

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As a Senior GPU Architect, you will join a collaborative team to drive innovations in GPU technology and architecture. You will be responsible for developing architectural improvements focused on scalability, modularity, performance, area, yield, and schedule. Your daily work involves enhancing chip design infrastructure, including functional models, yield simulators, testbench components, and analysis tools. You will develop test plans for new features, document specifications, and collaborate with ASIC design, software, and VLSI teams to evaluate trade-offs. The role requires proficiency in C++ and Python, along with a strong background in computer architecture modeling. Candidates should possess experience in GPU or CPU system architecture development, potentially including Network-on-Chip or interconnect knowledge. You will solve complex problems regarding performance, area, complexity, and power while ensuring hardware designs meet specific cost and scalability targets.

Skills

GPU Architecture C++ Python Computer Architecture NoC Interconnect DFT VLSI ASIC Design System Architecture

What you'll do

Develop GPU architecture innovations to optimize scalability, performance, area, yield, and schedule.
Build and enhance chip design infrastructure including functional models, yield simulators, and analysis tools.
Create test plans and testing infrastructure for new architectures and features.
Implement and maintain functional, performance, and yield models for GPU designs.
Document architecture specifications and coordinate with ASIC, software, and VLSI teams to resolve trade-offs.
Validate design choices against performance, cost, and scalability targets with cross-functional engineering teams.
Improve functional verification tools and expand resources to support future GPU architectures.

What we're looking for

Bachelor's, Master's, or PhD in Computer Engineering, Computer Science, or a related field (or equivalent experience).
Minimum of 10 years of relevant work experience in GPU or CPU System Architecture development.
Proficiency in C++ and Python programming languages.
Solid background in Computer Architecture with specific experience in modeling.
Strong communication, interpersonal, and problem-solving skills to thrive in a collaborative environment.
Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect is preferred.
Knowledge of system level functions such as reset, boot, and DFT is preferred.
Proven track record of implementing complex architectural features while optimizing performance, area, complexity, and power.

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