Full-Time

Senior Hardware Test Engineer

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$152k - $287.5kAnnually

+ Equity

Senior, Expert

Santa Clara, CA, USA

Category
QA & Testing
Manual Testing
Quality Assurance
Required Skills
Linux/Unix

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering or a related field (or equivalent experience)
  • 8+ years of proven experience in system-level design and integration of server products from concept to deployment
  • Solid understanding of x86 server architecture, PCIe, DDR, Infiniband and high-speed interconnects
  • Basic understanding of BMC (Baseboard Management Controller) architecture, I2C (SMBus), power management and critical system telemetry controls
  • Familiarity with Linux OS and command line experience
  • Experience with the latest PCIe Gen4 and Gen5 technical interface challenges
  • Excellent problem-solving skills, attention to detail, and effective communication skills.
Responsibilities
  • Define manufacturing hardware test solutions that translate into methodologies and processes applicable across Board and System product segments.
  • Develop test strategies for new product features including identification, specification, design and qualification of test fixtures and test equipment.
  • Write product architecture specifications for new designs and define system-level requirements and specifications for server products for ARM and x86 based solutions.
  • Collaborate with internal and external partners to debug Board and System level issues, including HW Design, Quality, Software Development.
  • Investigate and introduce new manufacturing test technology and methodology to improve production efficiency.
  • Help solve deeper server system technical design level issues at every level.
  • Work with other highly experienced domain expert teams at NVIDIA to ensure manufacturing solutions are outstandingly optimized for the highest performance servers in the world.
  • Debug complex hardware and software issues during build phases.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which cater to a wide range of applications such as AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that meet the needs of gamers, researchers, and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match

INACTIVE