Equipment Engineer II — Smart Factory & AI

Seagate Technology; BLOOMINGTON (MN); On-site; USD 77,000 - 110,000; Full time

Benefits offered by this job

On-site café

Fully equipped on-site fitness center

Paid time off and holidays

Job summary

Seagate Technology is seeking an Equipment Engineer at our Normandale campus near Bloomington to modernize semiconductor manufacturing equipment and drive data-driven control strategies and AI-enabled solutions. You will work hands-on while building next-generation automation, data systems, and smart factory capabilities using Python and SQL.

Join a collaborative team that partners with Equipment, Process, Yield, and Data Engineering to improve uptime, throughput, and process stability.

Qualifications

• Bachelor's degree in STEM required; advanced degree beneficial.
• Experience in semiconductor or wafer manufacturing equipment.
• Experience with data-driven monitoring and automation is preferred.
• Strong problem solving and cross-functional collaboration skills.

Responsibilities

• Bridge traditional equipment engineering with modern control strategies and AI-enabled solutions.
• Support development, deployment, and optimization of wafer processing equipment.
• Evaluate equipment health and drive actions to improve uptime, throughput, and stability.
• Assist in implementing factory automation, sensors, and data collection systems.
• Collaborate with Equipment, Process, Yield, and Data Engineering teams on improvement opportunities.
• Provide technical support to technicians and engineers and maintain documentation.

Skills

Strong problem solving

Excellent communication

Fast-paced manufacturing

Automation passion

Collaborative mindset

Education

Bachelor's degree in STEM

Advanced degree beneficial

Tools

Python

SQL

R

Job description

Seagate Technology is seeking an Equipment Engineer at our Normandale campus near Bloomington to modernize semiconductor manufacturing equipment and drive data-driven control strategies and AI-enabled solutions. You will work hands-on while building next-generation automation, data systems, and smart factory capabilities using Python and SQL.

Join a collaborative team that partners with Equipment, Process, Yield, and Data Engineering to improve uptime, throughput, and process stability.