Statistical failure analysis jobs

Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.

Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
Nice to have: 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry
Nice to have: 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis
Nice to have: Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics
Nice to have: Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification

HBM PYE Product Development Failure Analysis Engineer