обновлено 1 день назад
Yield Development Engineering Manager-Strategic Programs (AI)
224 970 - 374 800$
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Описание вакансии
Текст:
TL;DR
Yield Development Engineering Manager-Strategic Programs (AI): Leading yield and defect engineering transformation in high-volume semiconductor manufacturing with an accent on AI/ML, defect metrology, predictive yield management, and scalable engineering systems. Focus on building decision intelligence, resolving complex yield limiters, scaling cross-site programs, and developing engineering organizations for future technology nodes and advanced packaging.
Location: Hybrid role based at the site in Hillsboro, Oregon, United States
Annual salary: $224,970–$374,800 USD
Company
develops semiconductor technologies and operates high-volume manufacturing environments focused on advanced technology nodes and packaging.
What you will do
- Define and execute a multi-year yield and defect engineering strategy integrating AI/ML, automation, and digital transformation.
- Lead enterprise-level programs that transition yield management from reactive analysis to predictive and prescriptive systems.
- Deploy AI and agentic AI solutions for defect detection, classification, excursion prevention, and root cause analysis.
- Integrate data platforms, digital twins, advanced analytics, and real-time decision ligence into fab operations.
- Oversee yield performance, resolve complex yield limiters and defect excursions, and accelerate yield ramp and defect pareto convergence.
- Lead cross-site programs and a multidisciplinary organization spanning engineering, data science, AI, manufacturing, and automation.
Requirements
- Bachelor’s degree in Engineering, Physics, Materials Science, Data Science, or a related field.
- 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration.
- Experience with defect metrology tools, inspection systems, yield analysis, and high-volume manufacturing ramp phases.
- Experience integrating data analytics, machine learning, or AI solutions into engineering workflows.
- Experience leading complex, cross-functional programs and influencing senior stakeholders across organizational boundaries.
- Position of Trust requires passing an extended background investigation, subject to applicable country law.
Nice to have
- Advanced degree in a relevant technical or data-centric discipline.
- Experience with digital manufacturing ecosystems, data platforms, MES integration, and advanced analytics tools.
- Experience with advanced packaging technologies such as Foveros, EMIB, or heterogeneous integration.
- Track record of scaling enterprise-level engineering systems or platforms and connecting technical outcomes to cost, cycle time, and revenue impact.
Culture & Benefits
- Hybrid work model combining on-site and off-site work.
- Competitive pay with stock bonuses.
- Health, retirement, and vacation benefits.
- Opportunity to lead innovation, accountability, continuous learning, and scalable system-driven excellence.
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