Systems Quality and Reliability Engineer - LPU
At a glance
AI generatedTL;DR
Join our LPU team as a Systems Quality and Reliability Engineer where you will own, build, and manage the return material authorization and failure analysis processes for NVIDIA’s AI/ML products. Your day-to-day responsibilities include conducting root-cause analyses, collaborating with cross-functional teams to resolve issues, creating detailed reports, analyzing quality data, and overseeing hardware performance metrics at contract manufacturers. You must have a BS/MS in EE or Physics and five years of hands-on experience in systems test and validation. Key skills required are proficiency with lab equipment like oscilloscopes and logic analyzers, knowledge of reliability tests such as HTOL, and expertise in FA techniques including FIB and SEM. Additionally, you should be adept at high-speed interfaces and scripting languages on UNIX/Linux to manage complex factory floor operations effectively.
Skills
What you'll do
- Conduct and lead root cause analysis for field RMAs.
- Scale failure analysis capabilities within the organization.
- Create detailed FA reports following standard 8D processes.
- Analyze quality data to identify trends and drive corrective actions.
- Oversee hardware quality performance, monitoring key metrics like RMA rates.
- Manage operational performance of FA at contract manufacturers.
- Set up new products for Failure Analysis operations.
What we're looking for
- 5+ years of hands-on experience in systems test and validation engineering.
- BS/MS in Electrical Engineering, Physics, or a related field.
- Proven expertise in systems quality and reliability engineering.
- Proficiency with lab equipment including oscilloscopes and logic analyzers.
- Experience enabling reliability tests like HTOL and quality tests such as burn-in.
- Strong knowledge of fault isolation techniques and FA tools (FIB, SEM).
- Excellent skills in PCB card and system level test and debug.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 825 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 813 roles with salary data.
Most-posted roles
- Senior Solutions Architect, AI Infrastructure 4
- Senior System Software Engineer - AV Platform 4
- Senior Circuit Design Engineer 3
- Senior Circuit Methodology Engineer 3
- Senior Deep Learning Performance Architect 3