MBIST Diagnostics Engineer - Sr Staff/Staff Engineer

## \nCompany:\n\nQualcomm India Private Limited\n\n## Job Area:\n\nEngineering Group, Engineering Group \u003e Hardware Engineering\n\nGeneral Summary:\n\nWe are seeking an experienced and innovative professional to lead the development of advanced memory diagnostic methodologies and tools for next-generation SoCs. This role involves driving cutting-edge solutions in DRAM testing, failure analysis, and AI/ML-based pattern recognition to improve memory yield and reliability across high-volume manufacturing environments.\n\nMinimum Qualifications:\n\n\u2022 Bachelor\u0027s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. \nOR \nMaster\u0027s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. \nOR \nPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.\n\nMinimum Qualifications:\n\n * Experience in developing diagnostic tools for emerging memory technologies.\n\n * Exposure to data analytics platforms for large-scale failure analysis.\n\n * Bachelor\u2019s or Master\u2019s degree in Electrical engineering, Computer Engineering, or related field.\n\n\n\n\nPreferred Qualifications:\n\n * 8+ years of experience in memory diagnostics, DRAM test, and failure analysis in advanced SoC environments.\n\n * Deep understanding of fault isolation, redundancy schemes, fault models and memory test algorithms.\n\n * Experience with AI/ML techniques applied to pattern recognition or data analytics in semiconductor test or yield domains.\n\n * Proficiency in Python, Perl, TCL and data visualization tools.\n\n * Experience with HTOL, RMA debug, and high-volume manufacturing diagnostics.\n\n * Knowledge of memory redundancy, error correction, and self-repair mechanisms.\n\n * Knowledge of implementation of MBIST solutions using industry-standard tools (e.g., Mentor Tessent, Synopsys etc).\n\n * Strong analytical and problem-solving skills with a data-driven mindset.\n\n * Excellent communication and collaboration skills in a cross-functional, global environment\n\n\n\n\nKey Responsibilities:\n\n * Develop and enhance memory diagnostic methodologies including DRAM-specific diagnostics.\n\n * Define and develop memory test and repair algorithms (BIRA, ECC, redundancy analysis)\n\n * Isolate failing memory locations and analyze failure signatures to support yield improvement, RMA, and HTOL debug.\n\n * Evaluate and improve memory yield through data analysis and test coverage enhancements.\n\n * Design and implement AI/ML-based pattern recognition tools to enable advanced bitmapping and failure characterization beyond the capabilities of current tools.\n\n * Collaborate with silicon validation, product engineering, and yield analysis teams to correlate diagnostics with silicon behavior.\n\n * Drive innovation in diagnostic algorithms and tool development to support future technology nodes and memory architectures.\n\n * Provide technical leadership and mentorship to junior engineers and cross-functional partners\n\n\n\n\nApplicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm\u0027s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. 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