Full-Time

Hardware Validation 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

$104k - $247.3kAnnually

+ Equity

Mid

California, USA + 2 more

More locations: Santa Clara, CA, USA | United States

Category
QA & Testing
Automation Testing
Quality Assurance
Required Skills
Python
Perl
Requirements
  • BSEE/BSCE or equivalent experience
  • 3+ years of hands-on hardware/software debug experience.
  • Strong understanding of digital design, circuit design analysis and computer architecture.
  • Programming skills with experience in Python or other scripting languages (such as Perl, Shell).
  • Hands-on lab experience with board bringup, lab debug and lab tools (Logic analyzers, oscilloscopes, multimeters).
  • Strong problem solving and debugging skills.
Responsibilities
  • Complete validation plans for GPU and CPU modules, and other peripheral cards that get integrated into NVIDIA's datacenter products
  • Electrical and functional validation of power sensors, MCU, I2C, SPI, SMBUS and PCIe interfaces
  • Develop test plans for new features and improve existing plans.
  • Collaborate with multi-functional teams to debug and resolve any HW/SW product issues.
  • Develop and maintain automated test scripts to improve validation speed and efficiency

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) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and 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

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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