1 день назад
Staff Engineer, Wafer Quality Assurance (AI)
102 500 - 136 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer, Wafer Quality Assurance (AI): Performing wafer failure analysis and driving quality improvement across semiconductor manufacturing with an accent on FMEA, CAPA, anomaly detection, and AI-assisted quality monitoring. Focus on implementing predictive quality solutions, integrating generative AI and digital agents, and preventing manufacturing excursions before they affect yield or customer deliverables.
Location: San Jose, California, with a secondary work location in Fremont, California; onsite at the San Jose Great Oaks Headquarters or Fremont Office
Salary: $102,500–$136,600 per year
Company
develops data storage systems and combines engineering expertise with global-scale manufacturing for hyperscale data centers, cloud platforms, and enterprise infrastructure.
What you will do
- Perform wafer paper failure analysis and provide dispositions for customer-flagged issues.
- Facilitate manufacturing readiness review and process design readiness meetings.
- Drive 8D closure, corrective and preventive actions, and root-cause resolution.
- Lead FMEA activities across wafer fabrication to identify and mitigate potential failure modes.
- Partner with process, equipment, manufacturing, and data engineering teams to deploy automated quality surveillance and anomaly detection.
- Implement AI-assisted quality monitoring for change review, material review, failure analysis, and FMEA workflows.
Requirements
- Bachelor’s degree in engineering, material science, physics, data sciences, or a related technical field; a master’s degree is preferred.
- At least 3 years of experience in quality assurance, quality engineering, semiconductor manufacturing, or wafer manufacturing.
- Strong problem-solving, root-cause-analysis, analytical, and statistical data interpretation skills.
- Familiarity with FMEA and semiconductor quality processes, including wafer products, SPC, wafer process build, and manufacturing interfaces.
- Ability to collaborate across technical and operations teams and communicate complex findings through data storytelling and visualization.
- Ability to work onsite in San Jose or Fremont, California.
Nice to have
- Experience with AI/ML, generative AI, large language models, Copilot technologies, or digital agents.
- Experience developing or using AI-enabled quality monitoring and reporting systems.
- Knowledge of HAMR and end-to-end quality management in semiconductor manufacturing.
- Experience with automation and digital transformation initiatives.
Culture & Benefits
- Paid vacation and sick leave.
- Medical, dental, vision, life, accident, and disability insurance.
- Flexible spending and health savings accounts.
- Tuition reimbursement, transit benefits, employee assistance, and voluntary insurance programs.
- Eligibility for incentive plans, long-term incentives, employee stock purchase plans, and the WD Savings 401(k) Plan.
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