Job Title
Systems Quality and Reliability Engineer - LPU
Role Summary
Own, build, and manage RMA and failure-analysis (FA) debug and root-cause efforts for NVIDIA AI/ML products in the LPU team. Work cross-functionally with systems, hardware, software, and operations teams to identify and mitigate field quality issues.
NVIDIA develops advanced GPU and AI systems; this role supports product reliability and field returns at scale.
Experience Level
Mid-level. The role expects 5+ years of hands-on systems test, validation, or reliability engineering experience.
Responsibilities
Primary responsibilities include ownership of RMA/FA processes, quality metrics, and coordination with manufacturing partners.
- Lead debug and root-cause analysis of field RMAs and FAs; coordinate cross-functional investigations.
- Scale FA capabilities and standardize FA processes (8D or similar reporting).
- Analyze RMA, FA and repair data to identify trends; raise quality alerts and drive containment and mitigation plans.
- Monitor hardware quality metrics including RMA rates, MTBF, and reliability ratios.
- Manage FA operational performance at contract manufacturers (CMs): cycle times, fault duplication, and fault isolation rates.
- Oversee setup and ramp of new products into Failure Analysis operations.
Requirements
Must-have skills and experience:
- 5+ years hands-on systems test, validation, or reliability engineering experience.
- Proven practical experience in systems quality and reliability engineering.
- Proficiency with lab equipment such as oscilloscopes, logic analyzers, and power analyzers.
- Experience enabling reliability tests (HTOL) and quality tests (Burn-in).
- Strong knowledge of fault isolation techniques (OBIRCH, DLS/LADA, LVP, LVI).
- Proficiency with high-speed interfaces (SerDes, PCIe, DDR).
- Proficiency in scripting/programming (Python, Perl, C++) on UNIX/Linux.
- Experience with PCB card and system-level test and debug; ability to manage factory/CM partners for RMA/FA activities.
Nice-to-have:
- Working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA, and CSAM.
Education Requirements
BS or MS in Electrical Engineering, Physics, or a related technical field, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.

Date Posted: 2026-08-14