Job description

ESSENTIAL DUTIES AND RESPONSIBILITIES • Perform wafer paper failure analysis (FA) and provide disposition for issues flagged by customers. • Facilitate wafer manufacturing readiness review (MRR) and process design readiness (PDR) review meetings. • Drive 8D closure with corrective action and preventive action (CAPA) implementations to prevent reoccurrence • Failure Mode & Effects Analysis (FMEA): Lead and facilitate FMEA activities across wafer fab to proactively identify, assess, and mitigate potential failure modes and their impact on quality and reliability. • Partner with process, equipment, manufacturing, and data engineering teams to implement automated quality surveillance and anomaly detection solutions. • Drive digitalization initiatives that improve CAPA effectiveness, root cause identification, and risk assessment processes. • Evaluate and integrate generative AI and digital agent technologies to enhance engineering productivity, knowledge management, and quality decision-making. • Drive adoption of AI-powered quality engineering tools to increase engineering productivity, accelerate defect detection cycle times, and transition the organization from reactive quality management to predictive quality — anticipating and preventing excursions before they impact yield or customer deliverables. • Participate in developing and deploying AI-assisted quality monitoring solutions for Change Review Board (CRB), Material Review Board (MRB), Failure Analysis (FA), and FMEA activities. REQUIRED • Bachelor's degree in Engineering, Material Science, Physics, Data Sciences or a related technical field (Master's preferred) • 3+ years of experience in quality assurance, quality engineering, or a related role within semiconductor or wafer manufacturing • Strong problem-solving and root-cause-analysis skills. • Ability to analyze datasets and interpret statistical/model-performance results. • Experience working with AI/ML or generative AI systems a plus. • Familiarity with FMEA methodology and its application to IT and manufacturing systems • Basic understanding of wafer product, including HAMR and knowledgeable of SPC, wafer process build, interconnection between process, equipment, manufacturing, backend a plus • Strong cross-functional collaboration skills with the ability to engage both technical and operations teams • Excellent analytical and problem-solving skills with a detail-oriented mindset ADDITIONAL SKILLS • Experience with end-to-end quality management in semiconductor manufacturing • Experience developing or utilizing AI-enabled quality monitoring and reporting systems. • Knowledge of Generative AI, Large Language Models (LLMs), Copilot technologies, or Digital Agents for engineering workflows. • Strong data storytelling and visualization skills to communicate complex technical findings to engineering and management teams. • Continuous improvement mindset with the ability to identify opportunities for automation and digital transformation. WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available here . WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 12/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #L1-RR1 Compensation & Benefits Details • An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. • If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. • You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards. • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan. • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

Requirements

Must-haves

Perform wafer paper failure analysis (FA) and provide disposition for issues flagged by customers.
Facilitate wafer manufacturing readiness review (MRR) and process design readiness (PDR) review meetings.
Drive 8D closure with corrective action and preventive action (CAPA) implementations to prevent reoccurrence
Failure Mode & Effects Analysis (FMEA): Lead and facilitate FMEA activities across wafer fab to proactively identify, assess, and mitigate potential failure modes and their impact on quality and reliability.
Partner with process, equipment, manufacturing, and data engineering teams to implement automated quality surveillance and anomaly detection solutions.
Drive digitalization initiatives that improve CAPA effectiveness, root cause identification, and risk assessment processes.
Evaluate and integrate generative AI and digital agent technologies to enhance engineering productivity, knowledge management, and quality decision-making.
Participate in developing and deploying AI-assisted quality monitoring solutions for Change Review Board (CRB), Material Review Board (MRB), Failure Analysis (FA), and FMEA activities.
3+ years of experience in quality assurance, quality engineering, or a related role within semiconductor or wafer manufacturing
Strong problem-solving and root-cause-analysis skills.
Ability to analyze datasets and interpret statistical/model-performance results.
Familiarity with FMEA methodology and its application to IT and manufacturing systems
Strong cross-functional collaboration skills with the ability to engage both technical and operations teams
Excellent analytical and problem-solving skills with a detail-oriented mindset
Experience with end-to-end quality management in semiconductor manufacturing
Experience developing or utilizing AI-enabled quality monitoring and reporting systems.
Knowledge of Generative AI, Large Language Models (LLMs), Copilot technologies, or Digital Agents for engineering workflows.
Strong data storytelling and visualization skills to communicate complex technical findings to engineering and management teams.
Continuous improvement mindset with the ability to identify opportunities for automation and digital transformation.
Compensation & Benefits Details
If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.

Nice-to-haves

Bachelor's degree in Engineering, Material Science, Physics, Data Sciences or a related technical field (Master's preferred)
Experience working with AI/ML or generative AI systems a plus.
Basic understanding of wafer product, including HAMR and knowledgeable of SPC, wafer process build, interconnection between process, equipment, manufacturing, backend a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)