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 September 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

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.
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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

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