Package DDQA Engineer — Automation, ML & Data Analytics

Micron Technology; Boise (ID); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Paid time off

Paid holidays

Job summary

Micron Technology invites qualified professionals to join a team focused on automating data-driven decision making in advanced memory and storage solutions. You will map package DDQA processes, build data pipelines, and develop ML-driven analytics to mitigate risk and improve manufacturing quality.

The role emphasizes collaboration with engineering teams, deploying dashboards, and sharing findings to enable global analytics.

Qualifications

• Statistical modeling and machine learning using Python.
• Software quality assurance methodologies and software testing lifecycles.
• OO programming languages including Python, Java or C++, and OO design principles.
• SQL, relational databases, and data modeling concepts.
• Full-stack web development, including HTML, CSS, JavaScript, and modern frameworks (React/Angular).
• Cloud computing platforms including AWS, distributed systems, and networking fundamentals.

Responsibilities

• Understand processes to assess and mitigate risks for new package technologies.
• Set up data bases, develop data ingestion pipelines, and implement automated data analysis and reporting tools.
• Analyze data to support problem solving and risk assessment for quality issues.
• Collaborate with Engineering teams to map DDQA processes and data streams, share findings.

Skills

Python

Machine learning

Statistical modeling

Java

C++

SQL

Web development

AWS

Education

Master's degree in Computer Science or related field

Tools

Relational databases

React/Angular

Job description

Micron Technology invites qualified professionals to join a team focused on automating data-driven decision making in advanced memory and storage solutions. You will map package DDQA processes, build data pipelines, and develop ML-driven analytics to mitigate risk and improve manufacturing quality.

The role emphasizes collaboration with engineering teams, deploying dashboards, and sharing findings to enable global analytics.