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Nvidia Hardware Engineer Jobs (NOW HIRING)

Nvidia

Senior Hardware Validation Engineer

Santa Clara, CA

$129K - $173K/yr

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In ...

Nvidia

Senior ATE Hardware Engineer

Santa Clara, CA · Hybrid

$129K - $173K/yr

NVIDIA has continuously reinvented itself for three decades. Our invention of the GPU in 1999 ... Work closely with the test engineers and vendors to resolve component and board fabrication and ...

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Nvidia Hardware Engineer information

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How much do nvidia hardware engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nvidia Hardware Engineer position, and why are they important?

To thrive as an Nvidia Hardware Engineer, you need a strong background in electrical engineering, digital and analog circuit design, and familiarity with ASIC/FPGA development, typically demonstrated through a relevant degree and experience. Expertise with industry-standard tools like Cadence, Synopsys, and scripting languages, as well as knowledge of hardware validation methods, is frequently required. Strong problem-solving abilities, teamwork, and effective communication help engineers navigate complex projects and work across multidisciplinary groups. These skills and qualities are critical for designing innovative, high-performance hardware components and ensuring their successful integration into Nvidia’s advanced technologies.

What does a typical day look like for an Nvidia Hardware Engineer, and how do they collaborate with other teams?

A typical day for an Nvidia Hardware Engineer involves designing, simulating, and testing hardware components, often working closely with software, verification, and product teams to ensure designs meet performance and reliability standards. The role includes reviewing schematics, running validation tests, analyzing data, and addressing technical challenges as they arise. Engineers regularly participate in cross-functional meetings to align on project goals, share updates, and troubleshoot issues collaboratively. This collaborative environment ensures that new Nvidia products are developed efficiently and meet the industry’s demanding standards, providing engineers with significant opportunities for learning and professional growth.

What is a Nvidia Hardware Engineer job?

An Nvidia Hardware Engineer is responsible for designing, developing, and optimizing cutting-edge hardware components such as GPUs, AI accelerators, and high-performance computing chips. They work on circuit design, system architecture, validation, and performance optimization to ensure Nvidia's products meet industry standards. These engineers collaborate with software teams to enhance hardware-software integration and improve efficiency. The role requires expertise in areas like VLSI design, FPGA/ASIC development, and power management. Strong problem-solving skills and a background in electrical or computer engineering are essential.

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Nvidia Hardware Engineer jobs near you
Infographic showing various Nvidia Hardware Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.
Senior Hardware Validation Engineer

Senior Hardware Validation Engineer

Nvidia

Santa Clara, CA

$129K - $173K/yr

Full-time

Re-posted 29 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence. Make the choice to join us today.

We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In this role you will be working with a team of HW/SW engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products.

What you will be doing:

  • Own validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production.

  • Collaborate with ODMs, component suppliers, and QA teams to ensure no gaps in coverage.

  • Coordinate internal and external teams in different times zones.

  • Develop system level stress and performance testing strategies using industry leading Deep Learning/AI applications.

  • Solve complex system level hardware and software issues on GPU accelerated computing platforms.

What We Need to See:

  • Ability to work on site in hardware lab environment 5 days a week

  • BSEE or BSCE or equivalent experience

  • High speed IO validation

  • 5+ years or more of experience in validating and debugging complex systems.

  • Developing/running real world workload and factory diagnosis tools

  • Outstanding verbal and written communication skills.

  • Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules.

  • Familiarity with lab instrumentations like Oscilloscopes (Digital Multi Meter)

  • Deep understanding of computing architectures.

  • Coding experience with programming and scripting languages such as C/C++, JS and Python.

Ways to stand out from the crowd:

  • Experience with datacenter products including system management, security, networking, and storage.

  • Background with x86/Arm server architectures and accelerated GPU computing.

  • Track record of continuous process improvement with a passion for tools and automation.

  • Proven knowledge in Circuit and Waveform analysis.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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