Full-Time

GPU Architecture Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$120k - $230kAnnually

+ Equity

Entry

Austin, TX, USA + 2 more

More locations: Santa Clara, CA, USA | Durham, NC, USA

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Python
C/C++
Requirements
  • Pursuing and completing an MS or PhD or having equivalent experience in a relevant discipline (CS, EE, math).
  • Strong programming ability in C, C++, and Python.
  • Deep knowledge of computer architecture and parallel programming.
Responsibilities
  • Contribute to advancing GPU Architecture Simulators, GPU testing infrastructure and metrics.
  • Understand and model in C++, features for future graphics and parallel processing architectures.
  • Develop test plans and testing infrastructure.
  • Debug tests on architecture simulators.
  • Develop tools to validate performance models and verify functional models.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enhance user experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation in technology and provide advanced solutions to a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain boosts NVIDIA's AI capabilities in Asia.
  • Investment in Ayar Labs enhances scalable AI infrastructure solutions.
  • Participation in Nebius Group financing strengthens European AI market presence.

What critics are saying

  • Rising competition from well-funded AI companies like xAI and Crusoe.
  • Ayar Labs' optical solutions may challenge NVIDIA's AI infrastructure dominance.
  • Resource allocation to acquisitions may impact NVIDIA's core operations.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets.
  • NVIDIA's cloud services offer scalable AI and machine learning solutions.

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