Package Design and Development Quality Assurance Engineer - Data Analytics

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsible for understanding the processes used to assess and mitigate risks related to the introduction of new package technologies so that you can improve efficiency and effectiveness by implementing automation, data analysis and machine learning/AI solutions.

Set up data bases, develop data ingestion pipelines, and implement automated data analysis and reporting tools. Support problem solving and risk assessment for internal or customer quality issue by pulling and analyzing data. Contribute to the advancement of technology at Micron through mentoring, publishing technical papers (internal and external), and developing innovative solutions to challenging problems. Implement Automation, Data Analysis, and AI Solutions.

Collaborate with Engineering teams to Map Package DDQA processes and data streams. Set up and optimize databases and develop solutions to improve efficiency and effectiveness. Understand the needs of internal customers and develop solutions. Support Problem Solving and Risk Assessment for Quality Issues. Pull relevant product information, manufacturing data, and reliability data based on given problem statements. Determine the appropriate dataset and treatment required to answer questions posed by problem solving teams.

This could include producing data visualizations, machine learning models, statistical inferences, and web applications. Provide recommendations about root cause findings and product risk, based on data analysis. Collaboratively Communicate Findings and Best Practices. Share best practices with global teams to enable a culture of analytics and data driven decision making. Gather, organize and prioritize software requirements employing project and change management techniques.

Share code, knowledge and lessons learned to expand the ability of other team members to accomplish similar projects. Train internal customers to use reports and tools that you create. Present data and analyses to both large and small groups in both formal and informal settings. Support code and reports developed by other team members to make upgrades and fix issues.

Employer will accept a Master’s degree in Computer Science or related field.

Position requires:

• 1. Statistical modeling and machine learning algorithms using Python.
• 2. Software quality assurance methodologies and software testing life cycles
• 3. Object-oriented programming languages including Python, Java, or C++, and object-oriented design principles.
• 4. SQL, relational database systems, and data modeling concepts.
• 5. Full-stack web development, including HTML, CSS, JavaScript, and modern frameworks (including React or Angular).
• 6. Designing and implementing algorithms and data structures.
• 7. Cloud computing platforms (including AWS), distributed systems, and networking fundamentals.

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 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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