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1 день назад

Sr. Vacuum Equipment Engineer - Early Career (Semiconductor Manufacturing)

94 000 - 117 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Sr. Vacuum Equipment Engineer - Early Career (Semiconductor Manufacturing): Develop and deploy vacuum manufacturing equipment for wafer-based magnetic recording head production with an accent on equipment control, automation, and process variability reduction. Focus on analyzing tool performance, implementing AI-driven workflows, and solving complex reliability, maintenance, and manufacturing-control challenges.

Location: Onsite at the Bloomington, Minnesota, United States campus.

Estimated base salary: $94,000–$117,000 per year.

Company

hirify.global develops and manufactures data storage technologies, including hard disk drive recording-head solutions.

What you will do

  • Develop and deploy deposition, reactive etching, annealing, and other vacuum manufacturing equipment.
  • Oversee equipment issues, scrap reduction, maintenance paths, cycle-time improvements, installations, upgrades, and repairs.
  • Build factory automation and systematic tool-control methods using C#, Python, or R.
  • Implement KPIV controls, OCAPs, preventive-maintenance instructions, manufacturer training plans, and equipment safety improvements.
  • Use Six Sigma, design of experiments, and statistical analysis to improve tool performance and reduce variability.
  • Maintain equipment-control documentation and provide technical support to manufacturing equipment repair and process engineering teams.

Requirements

  • Experience with wafer manufacturing and semiconductor production equipment.
  • Hands-on familiarity with vacuum tooling and processes such as PVD, CVD, ALD, ion beam milling, ICP etching, or annealing in high- to ultra-high-vacuum environments.
  • Knowledge of design of experiments, statistical analysis, Six Sigma, and tools such as JMP or Minitab.
  • Experience with AI, machine learning, computer hardware, and/or programming.
  • PhD in materials science, chemistry, chemical or electrical engineering, physics, or a related field.
  • Strong written and verbal communication skills, cross-functional collaboration skills, and availability for after-hours support as needed.

Culture & Benefits

  • Full-time employment with medical, dental, vision, life, disability, and spending-account benefits.
  • 401(k), employee stock purchase plan, discretionary bonus eligibility, paid time off, and paid parental leave.
  • On-site café, fitness center, wellness programs, meditation rooms, indoor walking path, cultural events, and volunteer opportunities.
  • No travel is required.

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