Sr. Reliability Engineer, Power Modules and AI Applications

Monolithic Power Systems, Inc.•San Jose, CA

2d•$115,000 - $170,000•Onsite

About The Position

Monolithic Power Systems, Inc. (MPS) is seeking an exceptional Reliability Engineer/Sr. Reliability Engineer to join their Quality and Reliability team. This role is crucial for ensuring new power module devices for AI Datacenter applications meet high standards of reliability and quality. The engineer will collaborate with internal and external teams on joint-qualification design, Design for Reliability (DFR), and reliability test planning, utilizing effective data collection and analysis for reliability validation. This is a significant opportunity to contribute to the development of innovative products.

Requirements

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.
Proficiency in 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.

Nice To Haves

Experience with AI data center power supply architectures is a plus.

Responsibilities

Joint-Qualification Design: Collaborate with Design, Marketing/Customers, and Application teams as part of the Quality Assurance function to develop Reliability strategies and methodologies based on customer requirements and mission-profile analysis.
Experiment-Design: Design experiments to validate that the 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 for specific product families.
Failure Analysis Support: Drive root cause analysis for reliability-related failure cases with internal and external teams, ensuring corrective actions are validated before release.
Global Database: Refine and maintain the Reliability database infrastructure to enable efficient and timely internal/external QA communications.
Rel/QA Data Supports: Analyze reliability data using statistical tools such as JMP and Reliasoft, and present findings to internal and external teams.