About The Position

Micron Technology is advancing a historic $15 billion investment in semiconductor manufacturing in Boise, Idaho, with DRAM production planned for the second half of the decade. As a global leader in memory and storage solutions, Micron is investing more than $150 billion worldwide over the next decade to expand groundbreaking manufacturing capabilities and drive innovation across the semiconductor industry. Join the Boise expansion team and help build the future of semiconductor manufacturing. You will work alongside experienced engineers to develop advanced processes, solve complex manufacturing challenges, and support the production of technologies that power everything from artificial intelligence to next-generation computing systems. As a Dry Etch Process Engineer, you will contribute to the development, optimization, and sustainment of semiconductor manufacturing processes. You will gain hands-on experience in a brand new fabrication environment, working with multi-functional teams to improve yield, quality, reliability, and productivity. This is an excellent opportunity to apply engineering fundamentals, develop technical expertise, and grow your career in semiconductor manufacturing.

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 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, dental and vision plans
  • Benefit programs that help protect your income if you are unable to work due to illness or injury
  • Paid family leave
  • Robust paid time-off program
  • Paid holidays
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