Implant Process Engineer
Listed on 2026-07-01
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Engineering
Process Engineer, Quality Engineering, Manufacturing Engineer
Implant Process Engineer
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
At Micron Boise, we are undergoing a historic $15B investment in semiconductor manufacturing, with DRAM production planned for the second half of the decade. We are looking for engineers who want to help drive innovation and operational excellence in advanced memory manufacturing.
As an Implant Process Engineer, you will own the development, optimization, and sustainment of ion implantation processes supporting high‑volume manufacturing. You will partner closely with equipment, integration, yield, and manufacturing teams to ensure robust process performance, yield stability, and safe execution in a fast‑paced fab environment.
Responsibilities- Own ion implantation process development and sustainment, including process specs, control plans, and inline metric targets
- Drive yield and defect improvements using SPC, data analysis, and structured root cause techniques
- Lead process change reviews, risk assessments, and qualifications for new or optimized implant processes
- Collaborate with equipment engineering, integration, and vendors to align process requirements with tool capability
- Improve learning speed and cycle time through innovative use of inline metrology and data‑driven monitoring
- Bachelor's or Master's degree in Engineering (Chemical, Electrical, Materials, Physics, or related field)
- 2+ years of semiconductor manufacturing experience with implant process ownership or development
- OR equivalent military experience, OR Associate degree with 5+ years of relevant industry experience
- Ability to work on‑site in a manufacturing environment
- Strong understanding of ion implantation physics, dopant activation, and device impact
- Experience supporting high‑volume manufacturing with advanced process control requirements
- Proven track record to analyze complex data sets and drive decisions using statistical methods
- Familiarity with SPC, DOE, FMEA, and process qualification methodologies
- Programming or data analysis experience (e.g., Python, JMP, SQL)
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