Systems Quality and Reliability Lead - LPU

NVIDIA Corporation; Santa Clara (CA); On-site; USD 168,000 - 311,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Lead Systems Quality and Reliability Engineer in Santa Clara, CA to own and scale RMA/FA debugging for AI/ML products. You will conduct tests, root-cause analysis, and drive improvements across hardware and software interfaces.

The role requires 8+ years in systems test/validation, strong leadership, and hands-on experience with lab equipment and FA techniques (FIB, SEM, TDR, VNA). You will collaborate across engineering teams and with CM partners to ensure high-quality

Qualifications

• BS/MS in EE, Physics or related degree and 8+ years of hands-on systems test/validation experience.
• Proven hands-on management and leadership experience.
• Experience with lab equipment such as oscilloscopes, logic analyzers, power analyzers.
• Working knowledge of FA techniques and tools (FIB, SEM, TDR, VNA, CSAM).
• Strong fault isolation techniques (OBIRCH, DLS/LADA, LVP, LVI).
• Proficiency with high-speed interfaces (SerDes, PCIe, DDR).
• Proficiency in Python, PERL, C++, or other languages on UNIX/Linux.
• Excellent PCB and system-level test and debug knowledge; able to manage CM partners for RMA/FA.

Responsibilities

• Lead debug and root-cause analysis of field RMAs.
• Collaborate with Systems, Hardware, Software and Operations engineers to scale root-cause FA capabilities.
• Create FA result reports aligned with 8D or similar processes.
• Analyze RMA, FA and repair data.
• Identify trends and raise quality alerts when necessary.
• Drive resolution, containment, and mitigation plans for quality alerts.
• Oversee hardware quality performance, monitoring field data and metrics like RMA rates, MTBF, and Reliability Ratio.
• Manage FA performance at CM partners, ensuring key KPIs such as FA cycle times and fault isolation rates.
• Oversee setup of new products into Failure Analysis operations.

Skills

Python

PERL

C++

UNIX/Linux

PCB testing

System testing

Education

BS/MS in EE or Physics

Tools

FIB

SEM

TDR

VNA

Job description

We are seeking Lead Systems Quality and Reliability Engineer to join our LPU team! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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!

What you'll be doing

You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new Nvidia AI/ML products. You will conduct tests, and root-cause analysis.

Other responsibilities

• Conduct and lead debug and root-cause analysis of field RMAs.
• Collaborate with Systems Engineers, Hardware engineers, Software engineers, and operations engineers as required Scale root cause FA capabilities within your organization
• Create FA result reports that align with standard 8D or similar process
• Analyze RMA, FA and repair data.
• Identify trends and raise quality alerts when necessary.
• Drive resolution, containment, and mitigation plans for such quality alerts
• Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA rates, MTBF, and Reliability Ratio
• Manage operational perf of FA at CMs, ensuring partner achieve key perf indicators including FA cycle times, fault duplication rates and fault isolation rates
• Oversee the setup of new products into Failure Analysis operations

What we need to see

• BS/MS in EE, Physics or a related degree (or equivalent experience) 8+ yrs of hands on systems test and/or validation engineering experience
• Proven hands-on management and leadership experience
• Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers etc.
• Experience with enabling reliability tests such as HTOL and quality tests such as Burn in Ideal candidate will have working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA and CSAM
• Strong knowledge of Fault isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI
• Proficiency with high speed interfaces (SerDes, PCIe, DDR)
• Proficiency in Python, PERL, C++, or other languages on UNIX /Linux
• Excellent knowledge of PCB card and system level test and debug as well as be able to manage factory floor partners (CMs) for RMA/FA activities

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.