Company:

Qualcomm India Private Limited:

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

General Summary:

We are seeking an experienced and innovative professional to lead the development of advanced memory diagnostic methodologies and tools for next-generation So Cs. 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.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR
  Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.
  OR
  PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.

Minimum Qualifications:

• Experience in developing diagnostic tools for emerging memory technologies.

• Exposure to data analytics platforms for large-scale failure analysis.

• Bachelor’s or Master’s degree in Electrical engineering, Computer Engineering, or related field.

Preferred Qualifications:

• 8+ years of experience in memory diagnostics,DRAM test, and failure analysis in advanced SoC environments.

• Deep understanding of fault isolation, redundancy schemes, fault models and memory test algorithms.

• Experience with AI/ML techniques applied to pattern recognition or data analytics in semiconductor test or yield domains.

• Proficiency in Python, Perl, TCL and data visualization tools.

• Experience with HTOL,RMA debug, and high-volume manufacturing diagnostics.

Knowledge of memory redundancy,error correction, and self-repair mechanisms.

• Knowledge of implementation of MBIST solutions using industry-standard tools (e.g., Mentor Tessent, Synopsys etc).

• Strong analytical and problem-solving skills with a data-driven mindset.

• Excellent communication and collaboration skills in a cross-functional, global environment

Key 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 to enable advanced bitmapping and failure characterization beyond the capabilities of current tools.

• Collaborate with silicon validation, product engineering, and yield analysis teams to correlate diagnostics with silicon behavior.

• Drive innovation in diagnostic algorithms and tool development to support future technology nodes and memory architectures.

• Provide technical leadership and mentorship to junior engineers and cross-functional partners

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