Intern, RDA Application Engineer
Micron Technology
Posted 13 Nov 2026, 04:03 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Machine learningData analysisTroubleshootingMicrosoft Office
- Nice to have
- StatisticsPythonJavaMATLAB
- Work
- On-site in Boise · internship
- Pay
- Not stated by the employer.
- Skill demand
- Microsoft Office29%Troubleshooting22%Data analysis15%Machine learning4%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
Micron Technology is seeking a motivated Intern - RDA Application Engineer to join our RAM team in Boise, ID. This internship offers hands-on experience in semiconductor process integration, focusing on in-fab measurement performance, RDA signal analysis, and process control optimization, including the practical use of AI tools in manufacturing.
The internship is designed to span 3 months, with training provided for participation in cleanroom fabrication environments.
Key Responsibilities
- Analyze defect and metrology data to identify process trends and anomalies.
- Utilize Micron's approved AI tools and machine learning methods to accelerate data analysis, defect classification, and reporting.
- Support process control initiatives using SPC and DOE methodologies.
- Investigate deviations in measurement results and propose corrective actions.
- Collaborate with engineers to improve measurement accuracy, tool matching, and data integrity.
- Assist in tool health monitoring and calibration routines.
- Work with fab automation systems to troubleshoot data collection and integration issues.
- Identify repetitive tasks that can be automated or improved with AI and document the time or quality gains.
- Drive the assigned project to completion.
- Present findings in a verbal presentation, including how AI was used and its impact.
Requirements & Tech Stack
- Proficiency in Microsoft Office and JMP.
- Interest in applying AI tools responsibly to engineering problems, including checking AI-generated results against actual data.
- Ability to recognize and escalate process anomalies with urgency.
Qualifications
- Junior-level status in Electrical Engineering, Material Science, Physics, Chemical Engineering, Mechanical Engineering, or related fields.
- Must be a current student and not graduating before September 2026.
- Passion for working in a fast-paced, high-tech environment.
- Ability to manage multiple tasks and prioritize effectively.
- Strong technical, analytical, and communication skills.
- A mindset for continuous improvement and creative problem-solving.
Preferred Qualifications
- Understanding of SPC (Statistical Process Control) and DOE (Design of Experiments).
- Experience with scripting, programming, or visualization tools (Python, Java, Tableau, Matlab).
- Strong data intuition and visualization skills.
- Familiarity with data collection systems, warehousing, and cleansing.
- Hands-on experience in data analytics and database querying.