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# Staff/Sr. Reliability Engineer

- **Company:** Monolithic Power Systems
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Data Centers, Reliability Engineering, Software Reliability Testing, Systems Architecture, JMP (Statistical Software), Computer Network Operations, Reliability of Systems
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-sr-reliability-engineer-san-jose-ca--722253be-efab-41d9-a858-5f52d3e86f2b

## About the Role

Reliability Engineering, Semiconductors, Sustainability, System Architecture, Reliability Engineering, Artificial Intelligence (AI), Network Operations Center, Reliability Analysis, Data Collection, Reliability Testing, * Master's or Ph.D. in Materials Science, Electrical Engineering, Physics, or Mechanical Engineering.

 * 5+ years specializing in reliability testing and qualification of IC device and package to AEC/JEDEC standards.
 * Proficiency in statistical analysis such as JMP/Weibull, and advanced failure analysis tools such as SEM, CSAM, Xray, OBIRCH/TIVA.
 * Strong understanding of semiconductor device structures and physics especially in SiC and GaN.
 * Experience in supporting customers.
 * Experience with AI data center power supply architectures is a plus.
 * Fluency in Mandarin is highly preferred.

## Description

* Joint-Qualification Design. Closely work with Design, Marketing/Customers, Application teams as integral part of Quality Assurance function to develop Reliability strategies and methodologies based on customer requirements and mission-profile analysis.
 * Experiment-Design. Design experiments to validate design and hardware meet the intended use profile and reliability targets.
 * Design for Reliability (DFR). Evaluate risks and implement effective mitigation strategies with optimal trade-off analysis.
 * Joint-Reliability Tests. Co-lead reliability test planning and progress monitoring at both IC level and module level of specific product families.
 * Failure Analysis Support. For Reliability related failure cases, drive root cause analysis with internal and external teams and ensure corrective actions are validated before release.
 * Global Database. Refine and maintain Reliability database infrastructure to enable efficient and timely internal external QA communications.
 * Rel/QA Data Supports. Work as an integral function of Quality Assurance to analyze reliability data using statistical tools such as JMP and Reliasoft and present findings to internal and external teams.