Equipment Engineer II (AI)

Location: Normandale, United States; on-site manufacturing campus in the Edina and Bloomington area

Salary: $76,856–$109,892 per year

Company

hirify.global develops and manufactures magnetic recording heads and hard disk drive storage technologies.

What you will do

• Support the development, deployment, optimization, installation, modification, upgrades, and maintenance of wafer processing equipment.
• Evaluate equipment health and improve uptime, throughput, reliability, and process stability.
• Develop factory control strategies using automation, sensors, and AI-driven monitoring.
• Deploy data collection systems and integrate equipment using Python, SQL, and AI frameworks.
• Build or support lightweight AI models and rule-based logic for anomaly detection, predictive maintenance, and automated interlocks.
• Partner with Equipment, Process, Yield, and Data Engineering teams on root cause investigations, documentation, technical support, and knowledge sharing.

Requirements

• Experience with semiconductor or wafer manufacturing equipment, including photolithography, plating, metrology, or inspection systems.
• Understanding of equipment performance, reliability, and maintenance practices.
• Experience with statistical analysis tools such as JMP, Minitab, or Six Sigma methodologies.
• Proficiency in programming or scripting with Python, SQL, R, or similar tools.
• Experience or exposure to equipment control strategies or factory automation systems.
• Bachelor’s degree in a STEM field with 2+ years of experience, or a Master’s degree or PhD with 0+ years of experience, or equivalent education and experience; occasional off-shift support may be required.

Nice to have

• Experience integrating sensors, edge devices, or data acquisition systems into manufacturing equipment.
• Familiarity with AI/ML concepts for equipment monitoring or fault detection.
• Experience upgrading legacy tools with modern controls, sensors, or automation.
• Knowledge of SPC, DOE, DMAIC, or structured problem-solving methodologies.

Culture & Benefits

• Hands-on work in a smart-factory environment combining equipment engineering, factory controls, data systems, and AI.
• Collaboration with engineering, AI, operations, and manufacturing specialists.
• Medical, dental, vision, and life insurance, plus short- and long-term disability coverage.
• 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts.
• Paid time off, 12 holidays, paid sick leave, and 16 weeks of paid parental leave.
• On-site café, fitness center, wellness programs, meditation rooms, indoor walking path, and community activities.