Responsibilities
Gain hands-on experience testing semiconductor wafers using probe stations, electrical characterization equipment, and manufacturing test data.
Support electrical failure analysis activities and yield investigations to identify and resolve product and process issues.
Analyze manufacturing and test data to identify trends, anomalies, yield detractors, and potential root causes.
Develop scripts, dashboards, visualization tools, and automation solutions that improve engineering workflows and productivity.
Apply statistical methods, AI tools, and data analytics techniques to support defect detection, problem solving, and manufacturing optimization.
Use large language models (LLMs) and generative AI technologies to accelerate data analysis, technical documentation, knowledge discovery, and engineering decision-making.
Develop and evaluate AI-assisted workflows, prompt engineering techniques, and automation solutions to improve investigation efficiency and engineering effectiveness.
Collaborate with Design, Process Integration, Manufacturing, Test, and Product Engineering teams while presenting technical findings through reports and presentations.
Minimum Qualifications
Currently pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or a related technical field.
Basic understanding of semiconductor devices, semiconductor manufacturing, or related technologies.
Strong analytical, critical thinking, and problem-solving skills.
Ability to analyze technical data and communicate findings effectively in a collaborative environment.
Demonstrated written and verbal communication skills with the ability to work effectively on multi-functional teams.
Preferred Qualifications
Currently pursuing a Master’s degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or a related field.
Experience with data analysis, programming, or automation tools such as Python, SQL, JMP, Power BI, Tableau, or similar platforms.
Experience using AI tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or equivalent technologies for technical problem-solving, coding assistance, data analysis, or workflow automation.
Familiarity with machine learning concepts, data science methodologies, prompt engineering, retrieval-augmented generation (RAG), AI agents, or automation frameworks.
Strong interest in semiconductor technology, failure analysis, digital transformation, manufacturing optimization, and experience and/or interest in developing Agentic AI workflows into current or future processes.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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To learn more about Micron, please visit micron.com/careers
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