Senior Dry Etch Equipment Engineer — Drive Innovation

Micron Technology, Inc.; Boise (ID); On-site; USD 90,000 - 140,000; Full time

Job summary

Micron Technology in Boise, Idaho, is seeking a Senior Dry Etch Equipment Engineer to lead installation, qualification, and optimization of cutting-edge dry-etch equipment in a new cleanroom. You will partner with process engineers to analyze data, perform prevention and corrective maintenance, and troubleshoot production-impacting issues.

The role emphasizes hands-on work, safety, collaboration, and the development of PMI and AI-enabled workflows to improve yield and efficiency in a fast-paced

Qualifications

• 2+ years in Equipment Owner role with Dry Etch equipment.
• BS or MS in Engineering or equivalent experience.
• Equivalent military experience or AAS with 5+ years.
• Strong understanding of semiconductor fabrication processes.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Interest in AI workflows and data-driven optimization.

Responsibilities

• Install and qualify dry-etch equipment in new cleanroom.
• Analyze performance; perform maintenance and troubleshooting.
• Collaborate with process engineers to resolve issues.
• Complete projects to close hardware gaps.
• Maintain vendor relations and drive KPIs.
• Develop and implement Total Productive Maintenance strategies.

Skills

Analytical skills

Communication

Team collaboration

Data science basics

Programming concepts

Education

Bachelor's or Master's in Engineering

Equivalent military experience or AAS with 5+ years

Tools

Data analysis tools

Programming languages

Equipment ownership

Job description

Micron Technology in Boise, Idaho, is seeking a Senior Dry Etch Equipment Engineer to lead installation, qualification, and optimization of cutting-edge dry-etch equipment in a new cleanroom. You will partner with process engineers to analyze data, perform prevention and corrective maintenance, and troubleshoot production-impacting issues.

The role emphasizes hands-on work, safety, collaboration, and the development of PMI and AI-enabled workflows to improve yield and efficiency in a fast-paced