Sr. Equipment Engineer (AI)

Location: Normandale, United States; on-site cleanroom and manufacturing campus environment. Travel: Up to 10%.

Estimated base salary: $94,140.00–$134,625.00 per year.

Company

hirify.global develops data storage technology and operates the Recording Head development and manufacturing arm at the Normandale campus.

What you will do

• Own equipment performance improvements that reduce downtime and scrap while increasing throughput.
• Troubleshoot complex electrical and mechanical problems with technicians, identify root causes, and implement corrective actions.
• Lead equipment improvement projects, managing scope, schedules, resources, and cross-functional communication.
• Analyze equipment data to identify developing problems, prioritize improvements, and measure results.
• Develop and implement AI-assisted monitoring and troubleshooting tools for equipment reliability.
• Coordinate equipment moves, installations, and upgrades with vendors, Facilities, Manufacturing, and Process Engineering; improve maintenance practices and troubleshooting documentation.

Requirements

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Computer Engineering, Materials Science, Physics, Information Technology, or a related engineering discipline and 5+ years of experience; or a master’s degree in a related discipline and 3+ years of experience; or a PhD and 0+ years of experience; equivalent education and experience is also considered.
• Hands-on experience troubleshooting, repairing, and optimizing complex manufacturing equipment.
• Experience with statistical analysis tools and methodologies such as JMP, Minitab, Statistical Process Control (SPC), Design of Experiments (DOE), or Six Sigma.
• Strong understanding of equipment performance, reliability engineering, and maintenance practices.
• Experience with Failure Mode and Effects Analysis (FMEA) and Root Cause Analysis (RCA).
• Experience implementing or supporting equipment control strategies, factory automation systems, or Manufacturing Execution Systems (MES).
• Ability to analyze equipment data and drive improvements in uptime, reliability, productivity, and cost.
• Strong analytical, troubleshooting, communication, project leadership, prioritization, and cross-functional collaboration skills.

Nice to have

• Experience using AI and machine learning tools to improve equipment performance, automate monitoring, or drive operational improvements.
• Semiconductor industry experience, particularly with photolithography, metrology, electroplating, or other wafer fabrication equipment.
• Experience with DMAIC, Lean Manufacturing, Total Productive Maintenance (TPM), or Reliability Centered Maintenance (RCM).
• Knowledge of robotics, motion control systems, PLCs, sensors, machine vision, and industrial networking.
• Experience developing data visualization tools, dashboards, or automated monitoring solutions using SQL, Power BI, Python, or similar tools.
• Six Sigma Green Belt or Black Belt certification.

Culture & Benefits

• Full-time employee benefits include medical, dental, vision, life insurance, disability coverage, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts.
• Paid time off includes 12 holidays, flexible time off, at least 48 hours of paid sick leave, and 16 weeks of paid parental leave.
• Eligible employees may participate in a discretionary bonus program.
• The campus provides an on-site café, fitness center, wellness programs, meditation rooms, indoor walking path, cultural events, and community volunteer opportunities.