From NVIDIA's posting. “We” and “our” refer to the employer.
Today, NVIDIA is 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. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
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:
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 :
Recently completed a BS, MS, or PhD in EE or CE or related field or equivalent experience.
Ability to work on site in hardware lab environment 5 days a week
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)
High-speed IO validation and SERDES validation experience (50GBaud/s and above) is a must.
Strong understanding of DSP-based high-speed SERDES 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.
Familiarity with Ethernet and InfiniBand switch architectures is a strong plus.
Hands-on experience with SERDES performance tuning would be a strong advantage.
Track record of continuous process improvement with a passion for tools and automation.
Proven knowledge in Circuit and Waveform analysis.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 10, 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.
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
