Intern- Test Solutions Engineer at Micron Technology in Singapore, Singapore

Job description

• 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.
• AI-Enabled Test Process Optimization and Technology Qualification
• 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.
• 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.

Responsibilities

• 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.
• 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.
• 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

Requirements

• 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.
• The ideal candidate should be pursuing Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Mechanical Engineering, Computer Engineering, Manufacturing Engineering, or a related engineering course.

Skills

Required

• Analytical
• Structured problem-solving
• Decision-making
• Technical communication
• Cross-functional collaboration
• Project management
• Statistical analysis
• Data visualization
• Programming
• Engineering analysis tools
• Generative AI
• Large Language Models