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1 день назад

Yield Development Engineer

115 110 - 219 550$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Yield Development Engineer (Semiconductor Manufacturing): Developing yield improvement strategies, models, and data-analysis tools across semiconductor technology development and high-volume manufacturing with an accent on statistical analysis, machine learning, and defect identification. Focus on isolating root-cause yield limiters, analyzing manufacturing data, and collaborating on process optimization and new product introductions.

Location: Hillsboro, Oregon, United States. The role follows a hybrid work model, splitting time between the assigned hirify.global site and off-site work.

Annual salary: $115,110–$219,550 USD, depending on work location, skills, experience, and education.

Company

hirify.global develops semiconductor technologies and computing products, with a focus on innovation, manufacturing quality, and AI-enabled technology.

What you will do

  • Develop yield improvement strategies and process development roadmaps from research and development through high-volume manufacturing.
  • Analyze and consolidate manufacturing data to identify defect modes, yield limiters, and root causes.
  • Build yield models, multivariate algorithms, and tools that convert structured and unstructured data into actionable insights.
  • Apply machine learning, coding techniques, statistical analysis, fault isolation, and failure analysis to resolve yield-impacting issues.
  • Collaborate with process integration, defect engineering, electrical fault isolation, and design teams to improve manufacturability.
  • Support new product introductions, factory task forces, and process optimization initiatives.

Requirements

  • Bachelor’s degree in engineering, physical sciences, computer science, or a related field with 3+ years of relevant experience; or a master’s degree with 2+ years; or a PhD in a related field.
  • At least 1 year of experience with data analysis systems and machine learning, optical probing or metrology, statistical process control and design of experiments, or full-stack and cloud-based application development.
  • Experience in semiconductor processing, semiconductor devices, or nanotechnology.
  • Knowledge of fault isolation, failure analysis, electrical testing, layout studies, semiconductor physics, or device interaction modeling is valuable.
  • Ability to collaborate in cross-functional, matrixed organizations and communicate yield strategies to technical and business stakeholders.

Culture & Benefits

  • Hybrid work model combining on-site and off-site work.
  • Competitive pay with stock bonuses.
  • Health, retirement, and vacation benefits.
  • Work focused on semiconductor innovation, manufacturing quality, and technology transformation.

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