Intern - Equipment Engineer

What you'll do

• Analyze equipment and manufacturing data to identify performance trends, reliability concerns, and improvement opportunities.
• Support troubleshooting, root cause analysis, corrective actions, and equipment recovery.
• Participate in equipment upgrades, qualifications, and improvement projects; document procedures and findings.

What they ask for

• Currently pursuing a bachelor's degree in a listed engineering or technical field, or a related technical field.
• Able and willing to work in a semiconductor manufacturing cleanroom, including wearing required PPE and performing necessary physical activities.
• Demonstrated analytical and structured problem-solving skills.
• Experience analyzing or interpreting technical data, and ability to document work, communicate findings, collaborate, and learn engineering concepts and tools.

Nice to have

• Relevant coursework, projects, research, or internship experience in semiconductor or high-volume manufacturing, equipment maintenance, reliability, or process improvement.
• Experience or coursework in robotics, automation, mechanical or electrical systems, vacuum systems, industrial controls, SPC, statistical methods, AI, machine learning, or data-analysis tools.

Tools

Statistical Process Control (SPC)

AI focus

May use AI-supported data, equipment health insights, advanced analytics, machine learning, or other data-analysis tools to support equipment analysis, troubleshooting, and performance improvement.