3 дня назад
Staff Engineer, Wafer Quality Assurance
102 500 - 136 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer, Wafer Quality Assurance (Semiconductor Manufacturing/AI): Driving wafer failure analysis, manufacturing readiness reviews, FMEA, CAPA implementation, and AI-enabled quality monitoring across semiconductor manufacturing with an accent on root-cause analysis, anomaly detection, and predictive quality. Focus on integrating generative AI, digital agents, and automated surveillance to improve defect detection, risk assessment, and engineering decision-making.
Location: San Jose, California, with a secondary office location in Fremont, California
Salary: $102,500–$136,600 annually
Company
develops storage systems and manufacturing infrastructure for hyperscale data centers, cloud platforms, enterprise infrastructure, and the AI-driven data economy.
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 and CAPA implementation to prevent recurring quality issues.
- Lead FMEA activities across wafer fabrication to identify and mitigate potential failure modes.
- Partner with process, equipment, manufacturing, and data engineering teams on automated quality surveillance and anomaly detection.
- Evaluate and deploy generative AI, digital agents, and AI-powered quality engineering tools for predictive quality and engineering productivity.
Requirements
- Bachelor’s degree in engineering, materials science, physics, data science, or a related technical field; a master’s degree is preferred.
- At least 3 years of experience in quality assurance or quality engineering within semiconductor or wafer manufacturing.
- Strong root-cause analysis, problem-solving, data analysis, and statistical or model-performance interpretation skills.
- Familiarity with FMEA and end-to-end quality management in semiconductor manufacturing.
- Understanding of wafer products, HAMR, SPC, wafer process build, and the connections between process, equipment, manufacturing, and backend operations.
- Strong cross-functional collaboration, data storytelling, visualization, and continuous improvement skills.
Nice to have
- Experience with AI/ML or generative AI systems.
- Knowledge of large language models, Copilot technologies, digital agents, or AI-enabled quality monitoring systems.
Culture & Benefits
- Full-time employee position with exempt status.
- Medical, dental, vision, life, accident, and disability insurance.
- Paid vacation, paid sick leave, flexible spending and health savings accounts.
- 401(k) savings plan, employee stock purchase plan, potential bonuses and long-term incentives.
- Tuition reimbursement, transit benefits, employee assistance, and additional voluntary benefit programs.
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