New College Grad - R2R FAB Engineer - Manassas, VA - Fab 6, United States
Originally posted 1 October 2026 by the employer.
About the role
This role involves supporting semiconductor manufacturing by developing, deploying, and optimizing advanced process control solutions.
What you'll do
- Develop, deploy, maintain, and optimize R2R control strategies using E3 software and Micron information systems.
- Analyze process and manufacturing data using statistical methods and SPC techniques.
- Collaborate with engineering teams to implement controller enhancements, bug fixes, and standardized best-known methods.
- Provide technical support for deployed process control solutions, including troubleshooting and supporting excursion reviews.
- Create and deliver training materials, documentation, and user guidance, leveraging AI-enabled tools.
What you'll need
- Bachelor's degree in Control Theory, Control Systems, Automation and Control Engineering, or a related engineering field.
- Demonstrated understanding of semiconductor manufacturing processes, process control concepts, and control theory including open-loop, closed-loop, model predictive, linear, and nonlinear control systems.
- Experience with statistical data analysis, process capability improvement methodologies, and statistical process control (SPC).
- Proficiency in programming and scripting using Python and SQL, with experience supporting manufacturing or automation environments.
Nice to have
- Experience developing, deploying, or supporting Run-to-Run control strategies using E3 software within a semiconductor manufacturing environment.
- Knowledge of semiconductor metrology, inspection systems, defect detection, failure analysis techniques, and process integration methodologies.
- Experience with database technologies, data visualization tools, graphical programming, and manufacturing information systems.
- Understanding of structured problem-solving methodologies including Six Sigma, 8D, and root cause analysis techniques.
- Experience using AI, Agentic AI, Large Language Models (LLMs), or AI-assisted engineering solutions to enhance workflow efficiency, data interpretation, automation, and decision-making in technical environments.
Skills: R2R control strategies, E3 software, process capability, product quality, yield, manufacturing efficiency
This role has been open 14 days — well below the 52-day median for Manufacturing/Industrial Engineering roles.
Manufacturing/Industrial Engineering · Manufacturing Equipment
|
Open roles in category
2505
|
Median days open
52 d
|
Median salary
$96k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (2505 roles · 79 employers) |
|---|---|---|
| Open roles in this specialty | 402 | 2505 |
| Open roles in the wider Process, Fab & Equipment family | 1550 | 9907 · 109 employers |
| Median days open | 76 d | 52 d (+24 d vs this employer) |
| Median salary (USD postings) | — | $96k |
Skills observed across this category: R2R control strategies, E3 software, process capability, product quality, yield, manufacturing efficiency
Who's hiring in this category
- Micron Technology (this employer) · 398 open roles · median 77 d
- Applied Materials · 256 open roles · median 37 d
- Entegris · 227 open roles · median 36 d
- Lam Research · 109 open roles · median 58 d
- Infineon Technologies · 91 open roles · median 57 d
- STMicroelectronics · 70 open roles · median 51 d
How we counted: 2505 open Manufacturing/Industrial Engineering (Manufacturing Equipment) roles from 79 employers tracked in the SemiconductorJobs index, counted 16 Oct 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.