Intern - ADTS PEE Dry Etch

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

• Understand the measurement methodology and process mechanisms used to define cumulative error within the staircase formation loop.

• Analyze process and measurement data to identify factors contributing to cumulative error variation.

• Apply statistical analysis and data visualization techniques to evaluate relationships between process conditions and cumulative error performance.

• Develop potential control strategies to reduce cumulative error variation.

• Recommend opportunities to improve process margins and inline stability.

• Gain hands-on experience in semiconductor process data analysis and troubleshooting.

• Develop a deeper understanding of dry etch processes, staircase flow integration, and lateral and vertical etching mechanisms.

• Apply statistical analysis, data visualization, and AI-enabled workflows to an engineering project.

• Collaborate with cross-functional engineering teams and subject matter experts.

• Develop technical storytelling and presentation skills.
   

Deliverables

• Source-of-variation analysis for cumulative error within the staircase formation loop.

• Data visualizations summarizing key findings and process relationships.

• At least one proposed control strategy or process improvement idea.

• Recommendations for improving process margins and inline stability.

• Final internship project presentation to department leadership.

• Improve the understanding and control of cumulative error variation.

• Enhance inline process stability and contribute to device yield performance.

• Identify potential opportunities to improve dry etch process efficiency and equipment productivity.

• Strong analytical and problem-solving skills.

• Interest in semiconductor manufacturing and dry etch processes.

• Familiarity with statistical analysis and data visualization.

• Familiarity with machine learning, AI tools, or AI-enabled workflows.

• Experience with Python, R, SQL, JMP, or related data analysis tools would be advantageous.
   

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.   

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.