Systems Quality and Reliability Engineer - LPU

About This Role

This role focuses on ensuring the quality and reliability of NVIDIA's AI/ML products by owning and managing the RMA and FA debug and root-cause analysis processes. The engineer will conduct tests, analyze data, and drive resolutions for quality alerts, collaborating with various engineering and operations teams.

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 performance of FA at CMs, ensuring partners achieve key performance indicators including FA cycle times, fault duplication rates and fault isolation rates
• Oversee the setup of new products into Failure Analysis operations

Requirements

• BS/MS in EE, Physics or a related degree (or equivalent experience)
• 5+ years of hands-on systems test and/or validation engineering experience
• Proven hands-on experience in systems quality and reliability engineering
• 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
• 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
• Able to manage factory floor partners (CMs) for RMA/FA activities

Benefits

• Equity
• Generous benefits package

Important Details

• Application deadline: July 26, 2026

About the Company

NVIDIA has continuously reinvented itself over two decades, inventing the GPU in 1999 which fueled the growth of PC gaming, redefined computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only they can tackle, and that matter to the world.