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1 день назад

Equipment Engineer II (Semiconductor)

76 856 - 109 892$
Формат работы
onsite
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

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TL;DR

Equipment Engineer II (Semiconductor): Modernizing semiconductor manufacturing equipment and driving the adoption of data-driven control strategies and AI-enabled solutions with an accent on tool performance and reliability. Focus on building automation systems, deploying AI models for anomaly detection, and optimizing wafer processing equipment.

Location: On-site in Bloomington, MN, USA

Salary: $76,856 - $109,892

Company

hirify.global is a global leader in storage innovation, crafting precision-engineered solutions to help the world manage exponential data growth.

What you will do

  • Support the development, deployment, and optimization of wafer processing equipment across Photolithography, Electromagnetic Plating, or Metrology.
  • Manage the installation, modification, upgrade, and maintenance of manufacturing equipment to improve uptime and process stability.
  • Implement factory control strategies using automation, sensors, and AI-driven monitoring solutions.
  • Utilize Python and SQL to deploy data collection systems and integrate tools for enhanced decision-making.
  • Build lightweight AI models and rule-based logic for predictive maintenance and anomaly detection.
  • Partner with Process, Yield, and Data Engineering teams to solve complex manufacturing issues.

Requirements

  • Must be based in or able to work on-site in Bloomington, MN, USA.
  • Bachelor's degree in a STEM field (Electrical, Mechanical, Chemical, Computer Engineering, Materials, Physics, or IT) with 2+ years of experience, or a Master's/PhD.
  • Hands-on experience with semiconductor or wafer manufacturing equipment.
  • Proficiency in programming or scripting languages such as Python, SQL, or R.
  • Experience with statistical analysis tools like JMP, Minitab, or Six Sigma methodologies.

Nice to have

  • Experience integrating sensors and edge devices into manufacturing equipment.
  • Familiarity with AI/ML concepts applied to fault detection and equipment monitoring.
  • Background in upgrading legacy tools with modern automation and control capabilities.
  • Knowledge of SPC, DOE, or DMAIC structured problem-solving methodologies.

Culture & Benefits

  • Comprehensive health package including medical, dental, vision, and life insurance.
  • Financial perks: 401(k), employee stock purchase plan, and Health Savings Account (HSA).
  • Paid time off: 12 holidays, flexible time off, and 16 weeks of paid parental leave.
  • On-site facilities: Fully equipped fitness center, café, and meditation rooms.

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