About The Position

Micron Technology is expanding semiconductor manufacturing in Boise, Idaho, as part of a historic investment in DRAM production and global manufacturing capabilities. The new college graduate Dry Etch Process Engineer will contribute to developing, optimizing, and sustaining semiconductor manufacturing processes in a new fabrication environment. Working alongside experienced engineers and multifunctional teams, the engineer will help improve yield, quality, reliability, and productivity while building technical expertise in semiconductor manufacturing. The role also offers the opportunity to apply data analytics and explore AI-assisted and agentic AI workflows for process monitoring, engineering productivity, and decision-making.

Requirements

  • Bachelor's or master's degree in Chemical Engineering, Materials Science, Electrical Engineering, Mechanical Engineering, Physics, Chemistry, or a related STEM field.
  • Graduating by the start date or graduated within the last 24 months.
  • Basic understanding of semiconductor manufacturing, materials science, process engineering, or related technical fields through coursework, research, internships, or co-op experience.
  • Demonstrated analytical and problem-solving skills through academic projects, internships, laboratory work, or research activities.
  • Ability to effectively communicate technical information and collaborate within a team environment.

Nice To Haves

  • Internship, co-op, research, or laboratory experience in semiconductor manufacturing, microelectronics, nanotechnology, materials processing, plasma systems, or related technologies.
  • Familiarity with statistical analysis, SPC, experimental design, or data visualization techniques.
  • Experience with programming, scripting, or data analysis tools such as Python, JMP, MATLAB, SQL, or similar platforms.
  • Experience applying AI, Generative AI, or AI-assisted tools to support engineering, research, or data analysis projects.
  • Demonstrated leadership through student organizations, research teams, design competitions, or project-based coursework.

Responsibilities

  • Support the development and optimization of dry etch processes to improve product performance, yield, and manufacturing efficiency.
  • Analyze process and manufacturing data to identify trends, solve issues, and implement corrective actions.
  • Partner with process integration, equipment, manufacturing, and quality teams to support production goals and process improvements.
  • Participate in process qualifications, experiments, and continuous improvement projects using statistical and engineering methodologies.
  • Apply data analytics and explore AI-assisted and agentic AI workflows to enhance process monitoring, engineering productivity, and decision-making.

Benefits

  • Choice of medical plans
  • Choice of dental plans
  • Choice of vision plans
  • Income-protection benefit programs for illness or injury
  • Paid family leave
  • Paid time-off program
  • Paid holidays
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service