Hardware Validation Engineer - New College Grad 2025

Lensa; Santa Clara (CA); On-site; USD 92,000 - 179,000; Full time

Job summary

Lensa, in partnership with NVIDIA, seeks a Hardware Validation Engineer for the DGX Server Product Engineering Team. The successful candidate will develop and implement automated test plans for GPU accelerated computing products, work on product validation, and collaborate across teams to ensure quality in production. Ideal candidates are recent grads with a BS degree, strong communication skills, and coding experience in C/C++, Python, and Java.

Qualifications

• Completed or recently completed a BSEE or BSCE.
• Minimum 6 months experience in validating systems.
• Outstanding verbal and written communication skills.

Responsibilities

• Work on validation of products from start to finish including test plan development.
• Collaborate on system-level stress and performance testing strategies.
• Provide engineering support for manufacturing.

Skills

Debugging complex systems

Coding in C/C++, Python, JS

Communication skills

Education

BSEE or BSCE

Job description

Hardware Validation Engineer - New College Grad 2025

Hardware Validation Engineer - New College Grad 2025

1 week ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, NVIDIA, is seeking professionals in Santa Clara, CA. Apply via Lensa today!

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 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

• Work on 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.
• Collaborate on system level stress and performance testing strategies using industry leading Deep Learning/AI applications.
• Work on complex system level hardware and software issues on GPU accelerated computing platforms.
• Provide engineering support for manufacturing in both NPI and MP stages of production.
  
  

What We Need To See

• Ability to work on-site in hardware lab environment 5 days a week
• Completing or recently completed a BSEE or BSCE (or equivalent experience)
• Minimum 6 months experience in validating and debugging complex systems.
• Outstanding verbal and written communication skills.
• Coding experience with programming and scripting languages such as C/C++, JS and Python.
  
  

Ways To Stand Out From The Crowd

• Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules.
• Understanding of computing architectures.
• Experience with datacenter products including system management, security, networking, and storage.
• Background with x86/Arm server architectures and accelerated GPU computing.
• 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!

The base salary range is 92,000 USD - 178,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

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.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Quality Assurance

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Lensa by 2x

Get notified about new Validation Engineer jobs in Santa Clara, CA.

Sunnyvale, CA $102,000.00-$164,000.00 2 weeks ago

Menlo Park, CA $144,000.00-$201,000.00 12 hours ago

Fremont, CA $75,000.00-$95,000.00 6 hours ago

Product Quality Engineer, Data Center Hardware

Fremont, CA $139,000.00-$200,000.00 2 weeks ago

Santa Clara, CA $63,472.00-$84,630.00 3 days ago

Test and Validation Engineer II, Drive Unit Test and Validation

Hayward, CA $90,000.00-$100,000.00 1 week ago

Hardware Validation Engineer - New College Grad 2025

Santa Clara, CA $92,000.00-$178,250.00 4 minutes ago

San Francisco Bay Area $120,000.00-$140,000.00 3 weeks ago

Sr. Test and Validation Engineer, Drive Unit Test and Validation

San Jose, CA $177,760.00-$266,640.00 2 weeks ago

Senior Test and Validation Engineer, Drive Unit Test and Validation

Redwood City, CA $112,700.00-$155,000.00 1 week ago

San Jose, CA $90,000.00-$115,000.00 4 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.