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, stru