Dry Etch Process Engineer – AI-Driven Yield & Innovation

3000 Micron Idaho Semiconductor Manufacturing (Triton) LLC; Boise (ID); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Paid time off

Paid holidays

Job summary

Micron Technology in Boise, Idaho, is seeking a Dry Etch Process Engineer to develop, optimize, and sustain semiconductor manufacturing processes. You will work with multi-functional teams to improve yield, quality, reliability, and productivity in a brand-new fabrication environment.

You\'ll gain hands-on experience applying engineering fundamentals and data analytics, with opportunities to use Python, JMP, MATLAB and SQL for process data, along with AI-assisted workflows to enhance monitoring

Qualifications

• Bachelor's or Master’s in a STEM field; graduating soon or recently.
• Basic understanding of semiconductor manufacturing and materials science.
• Strong analytical and problem-solving abilities.
• Effective communicator and collaborator in a team.

Responsibilities

• Support development and optimization of dry etch processes to improve yield and efficiency.
• Analyze process and manufacturing data to identify trends and implement corrective actions.
• Collaborate with process integration, equipment, manufacturing, and quality teams to meet goals.
• Participate in process qualifications and experiments; contribute to continuous improvement.

Skills

Analytical skills

Problem-solving

Communication

Team collaboration

Data analysis

Python

JMP

MATLAB

SQL

AI/Generative AI

Education

Bachelor's or Master's in STEM

Tools

Python

JMP

MATLAB

SQL

Job description

Micron Technology in Boise, Idaho, is seeking a Dry Etch Process Engineer to develop, optimize, and sustain semiconductor manufacturing processes. You will work with multi-functional teams to improve yield, quality, reliability, and productivity in a brand-new fabrication environment.

You\'ll gain hands-on experience applying engineering fundamentals and data analytics, with opportunities to use Python, JMP, MATLAB and SQL for process data, along with AI-assisted workflows to enhance monitoring