Originally posted 22 September 2026 by the employer — open 0 days.
About the role
This role involves the development, optimization, and sustainment of semiconductor manufacturing processes, with a focus on dry etch processes. You will gain hands-on experience in a new fabrication environment to improve yield, quality, reliability, and productivity.
What you'll do
- Support 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.
What you'll need
- Bachelor's or Master's degree in Chemical Engineering, Materials Science, Electrical Engineering, Mechanical Engineering, Physics, Chemistry, or a related STEM field.
- Graduated within the last 24 months or graduating by start date.
- Basic understanding of semiconductor manufacturing, materials science, or process engineering 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 have
- Internship, co-op, research, or laboratory experience in semiconductor manufacturing, microelectronics, nanotechnology, materials processing, or plasma systems.
- 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.
- Experience applying AI, Generative AI, or AI-Assisted tools to support engineering, research, or data analysis projects.
This role has been open 0 days — well below the 82-day median for Process Engineering roles.
Process Engineering · Semiconductor Process
|
Open roles in category
1041
|
Median days open
82 d
|
Median salary
$148k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (1041 roles · 60 employers) |
|---|---|---|
| Open roles in this specialty | 347 | 1041 |
| Open roles in the wider Process, Fab & Equipment family | 1462 | 9417 · 108 employers |
| Median days open | 138 d | 82 d (+56 d vs this employer) |
| Median salary (USD postings) | — | $148k |
Who's hiring in this category
- Micron Technology (this employer) · 349 open roles · median 138 d
- Applied Materials · 87 open roles · median 139 d
- GlobalFoundries · 71 open roles · median 91 d
- Texas Instruments · 46 open roles · median 34 d
- STMicroelectronics · 44 open roles · median 68 d
- Entegris · 42 open roles · median 29 d
How we counted: 1041 open Process Engineering (Semiconductor Process) roles from 60 employers tracked in the SemiconductorJobs index, counted 22 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.