Intern- Test Solutions Engineer
Our vision is to transform how the world uses information to enrich life for all.
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.
Location
MSB (Micron Singapore Bendemeer)
Department
Test Solutions Engineering
Project Title
AI-Enabled Test Process Optimization and Technology Qualification
Project Description
As an intern within the Test Solutions Engineering team, you will undertake a structured engineering project related to semiconductor backend test processes, equipment capabilities, software, or operating methodologies.
You will gain exposure to manufacturing and equipment data analysis, process-performance evaluation, and the qualification of new technologies for High Volume Manufacturing.
Objectives
Develop an understanding of semiconductor backend test processes and equipment.
Evaluate process and equipment data to identify performance gaps.
Contribute to the qualification and transfer of new technologies or Best Known Methods.
Identify opportunities to improve yield, quality, reliability, cycle time, and cost.
Explore responsible applications of Artificial Intelligence in engineering workflows.
Opportunities for Full Time Employment
Successful completion of the internship may provide exposure to future career opportunities at Micron. Any future employment consideration will be subject to business needs, position availability, internship outcomes, and Micron’s recruitment process
.
Project Scope
Study the mechanical, electrical, software, and material-interface requirements of backend test equipment.
Analyze equipment and process indicators, including utilization, Overall Equipment Effectiveness, Mean Time to Repair, and Mean Time Between Failures.
Participate in controlled engineering evaluations of equipment capabilities, software functions, or process methodologies.
Apply structured problem-solving, risk assessment, and Failure Mode and Effects Analysis techniques.
Explore AI-Enabled methods for trend identification, reporting automation, knowledge retrieval, and engineering decision-making.
Learning Opportunities
Learn semiconductor backend test-process and test-handler equipment fundamentals.
Understand equipment mechanical, electrical, electronics, software, and reliability considerations.
Gain exposure to equipment communication protocols and manufacturing information systems.
Learn how new processes and First-of-a-Kind technologies are evaluated for High Volume Manufacturing.
Develop technical communication, data analysis, project management, and cross-functional collaboration skills.
Deliverables
Baseline analysis of the selected equipment or test process.
Data analysis identifying performance trends, process gaps, or recurring failure modes.
Engineering evaluation, risk assessment, or qualification summary.
Recommendations for improving process robustness, equipment effectiveness, quality, or cost.
Final technical report and presentation, including an AI-Enabled proof of concept where applicable.
The internship template includes interim and final reports or presentations as expected internship documentation
Impact of the Project
Improve understanding of backend test-process and equipment performance.
Enable earlier identification of process deviations and equipment risks.
Contribute to more robust technology qualification and transfer methods.
Identify opportunities to improve yield, quality, reliability, cycle time, and cost.
Demonstrate responsible use of Artificial Intelligence in manufacturing engineering.
Skillsets Required
Fundamental knowledge of electrical, electronics, mechanical, or manufacturing engineering.
Strong analytical, structured problem-solving, and decision-making abilities.
Familiarity with statistical analysis, data visualization, programming, or engineering analysis tools.
Interest in semiconductor backend test processes, equipment, and communication protocols.
Familiarity with Generative AI, Large Language Models, AI Assistants, or AI-Enabled workflows.
Course of Interest
The ideal candidate should be pursuing Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Mechanical Engineering, Computer Engineering, Manufacturing Engineering, or a related engineering course.
Duration of Period
The ideal candidate should be able to commit to a full time internship period of at least 5 months.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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 [email protected]
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.
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