We are seeking 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 include:Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware engineers, Software engineers, and operations engineers as requiredScale root cause FA capabilities within your organizationCreate FA result reports that align with standard 8D or similar processAnalyze RMA, FA and repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alertsOversee hardware quality performance, monitoring field quality data and associated metrics including RMA rates, MTBF, and Reliability RatioManage operational perf of FA at CMs, ensuring partner achieve key perf indicators including FA cycle times, fault duplication rates and fault isolation ratesOversee the setup of new products into Failure Analysis operationsWhat we need to see:BS/MS in EE, Physics or a related degree (or equivalent experience)5+ yrs of hands on systems test and/or validation engineering experienceProven hands-on experience in systems quality and reliability EngineerCompetence 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 inIdeal candidate will have working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA and CSAMStrong knowledge of Fault isolation techniques such as OBIRCH, DLS/LADA, LVP and LVIProficiency with high speed interfaces (SerDes, PCIe, DDR)Proficiency in Python, PERL, C++, or other languages on UNIX /LinuxExcellent knowledge of PCB card and system level test and debug as well as be able to manage factory floor partners (CMs) for RMA/FA activitiesWith 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?#LI-HybridYour 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 - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 17, 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.