Yield Diagnostics Engineer, up to staff

## Company: Qualcomm Semiconductor Limited ## Job Area: Engineering Group, Engineering Group > ASICS Engineering General Summary: We are seeking a highly driven engineer to lead yield analysis & diagnostics across digital and high-voltage product lines. This role emphasizes data-driven yield improvement, scalable diagnostics, and automation, enabling faster root cause resolution and robust high-volume manufacturing. The ideal candidate will bring strong technical depth, agility, and a mindset focused on building repeatable, efficient yield engineering solutions. You will work cross-functionally with foundry, test, product, and quality teams to systematically identify yield limiters and drive sustainable improvement across the product lifecycle. Key Responsibilities: * Drive end-to-end yield analysis across wafer sort, final test, and system-level screening * Identify yield detractors through statistical data mining, failure signature analysis, and silicon correlation * Lead cross-functional root cause analysis (RCA) and corrective actions with foundry, test, and process integration teams * Develop and scale yield monitoring frameworks, KPIs, and automated dashboards * Drive automation and methodology improvements to increase engineering efficiency and scalability Qualifications: * M.S. or Ph.D. in Electrical Engineering or a related field, with 5+ years of relevant industry experience. * Strong experience in yield analytics, diagnostics, and semiconductor data analysis. * Proven track record of driving yield improvement in high-volume manufacturing environments. * Solid understanding of Digital design architecture, DFT methodologies (scan, ATPG, etc.), and Test flows including ATE and SLT Preferred Qualifications: * Strong knowledge of high-voltage devices (e.g., LDMOS) and ability to interpret device characteristics * Experience with semiconductor process integration and hands-on experience supporting yield ramp in high-volume manufacturing * Deep expertise in scan diagnosis techniques and tools for volume yield analysis * Hands-on experience applying ML/AI techniques in yield analytics and diagnostics Minimum Qualifications: • Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience. Applicants: 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 disability-accomodations@qualcomm.com or call Qualcomm's 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. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this...