MBIST Diagnostics Engineer - Sr Staff/Staff Engineer
Core
Lead the development of advanced memory diagnostic methodologies and tools for next-generation SoCs, focusing on DRAM testing, failure analysis, and AI/ML-based pattern recognition to improve memory yield and reliability.
Role type
Sr Staff/Staff Engineer (Hardware Engineering)
Builds
Memory diagnostic tools, test algorithms, and AI/ML-based pattern recognition solutions for high-volume manufacturing.
Domain
Semiconductor / Hardware Engineering / Memory Testing
Deliverable
production ML models
Required skills
Memory diagnostics, DRAM test, failure analysis, fault isolation, memory test algorithms, AI/ML techniques, Python, data analytics, yield improvement, redundancy schemes, error correction, self-repair mechanisms, HTOL, RMA debug, high-volume manufacturing diagnostics, MBIST solutions
Preferred skills
8+ years in memory diagnostics/DRAM test/failure analysis, deep understanding of fault models, AI/ML in semiconductor test/yield, Python/Perl/TCL proficiency, memory redundancy knowledge, industry-standard tool implementation (Mentor Tessent, Synopsys)
Technologies
Python, Perl, TCL, Mentor Tessent, Synopsys
Responsibilities
Develop and enhance memory diagnostic methodologies including DRAM-specific diagnostics; Define and develop memory test and repair algorithms (BIRA, ECC, redundancy analysis); Isolate failing memory locations and analyze failure signatures to support yield improvement, RMA, and HTOL debug; Evaluate and improve memory yield through data analysis and test coverage enhancements; Design and implement AI/ML-based pattern recognition tools for advanced bitmapping and failure characterization; Collaborate with silicon validation, product engineering, and yield analysis teams; Provide technical leadership and mentorship to junior engineers.
Seniority
Sr Staff/Staff Engineer, hands-on IC with mentorship
