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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA's datacenter product engineering team in our Operations organization and be at the forefront of technological advancement! As a Senior System Debug Engineer, you will drive failure analysis and debug efforts during our Mass Production (MP) phase. You'll collaborate with some of the smartest minds in the industry to ensure the flawless manufacturing of datacenter GPU products. Your expertise in servers, systems, and board development will be necessary in understanding the intricate workings of our GPU datacenter products and ensuring their quality. This role offers the outstanding opportunity to work on innovative technology that will influence the future of datacenters.
What you will be doing:
As part of the product engineering group, you will handle debugging Datacenter DGX, MGX, and HGX products, focusing on identifying the root causes of factory build problems. You will:
- Perform failure analysis (FA) on GPU baseboards and servers at rack, system, and/or component level (including from L6 to L11/rack level).
- Analyze logs and failures that may span Hardware (HW), Software (SW), and Firmware (FW) and propose debug and mitigation strategies.
- Build experiments and collect/analyze data for Failure Analysis root cause.
- Engage in Build for Test, Manufacturing (DFx) enabling efforts and deliver products according to schedule.
- Provide root cause and corrective action plans in a timely manner and write clear and complete reports detailing steps taken and findings.
- Develop debug guides for partner teams and customers.
- Communicate effectively with industry vendors, suppliers, internal and external engineers, factory personnel, and sales/marketing teams in the US and overseas.
What we need to see:
- 12+ years of working experience in a related field.
- Bachelor’s or Master’s degree in Electrical Engineering, or related field (or equivalent experience).
- Excellent failure analysis or debug experience on motherboards, graphic cards, servers, PCs, or datacenter products.
- Demonstrated knowledge in enabling DFx requirements.
- Proven understanding and strong skills in one or more areas: Hardware, Software, Component, Process, Test, Validation.
- Strong negotiation, organization, and time management skills.
- Familiarity with sophisticated characterization equipment, including oscilloscopes and analyzers.
- Problem solving mentality
- Ability to work well in a team as well as independently.
- Strong ability to communicate clearly and work cohesively with partners.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 5, 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.