Nvidia

Actively Hiring

Gpu Hardware Engineer

Santa Clara, USA

Full time

Role Overview

Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance, area, yield, effort, and schedule.

About Nvidia

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Key Responsibilities

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Built for the developer community.

Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance, area, yield, effort, and schedule.

Develop and enhance chip design infrastructure, including functional models and yield simulators, testbench components and analysis tools, to evaluate configurations under different constraints.

Develop tests, test plans and testing infrastructure for new architectures/ features

Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to optimize chip yield and performance

Implement and maintain functional, performance, and yield models

Document architecture specifications; work with ASIC design, software, and VLSI teams to review and explore trade-offs, define solutions, and track progress.

Collaborate with other functional teams to validate choices against performance, cost, and scalability targets.

Guide the improvement of functional verification tools and expand other resources to support future GPU architectures

Requirements & Eligibility

Bachelors/Master’s/PhD in Computer Engineering, Computer Science or related fields
A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
Proficient programming skills in C++ and Python
Solid background in Computer Architecture with experience in modeling

Required Skills & Tech

C++PythonGPU ArchitectureCPU System ArchitectureComputer ArchitectureModeling

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Role Highlights

Posted Date

4 Oct 2026

Salary

184,000 USD - 356,500 USD

Experience

10+ years