QA Data Analytics Engineer - Package Design and AI

Micron Technology, Inc.; Boise (ID); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Paid time off

Paid holidays

Paid family leave

Job summary

Micron Technology, Inc. seeks a Package Design and Development Quality Assurance Engineer focused on data analytics. The role analyzes risk in new package tech, builds data pipelines, and applies ML/AI to improve QA processes. Collaboration across engineering teams and mentoring others are key parts of the job.

Responsibilities include automating data collection, delivering insights through visualizations, and presenting findings to varied audiences. A Master’s in CS or related field is required.

Qualifications

• Statistical modeling and machine learning using Python.
• Software quality assurance methodologies and testing lifecycles.
• Object-oriented programming in Python, Java, or C++ with OO design.
• SQL, relational databases, and data modeling concepts.
• Full-stack web development with HTML, CSS, JavaScript and modern frameworks.
• Cloud platforms (including AWS), distributed systems, and networking basics.

Responsibilities

• Map DDQA processes and data streams for package development.
• Set up and optimize databases; develop data ingestion pipelines.
• Implement automation, data analysis, and AI solutions.
• Pull product, manufacturing and reliability data for problem solving.
• Provide root cause findings and risk assessments to teams.
• Communicate findings and share best practices with global teams.

Skills

Statistical Modeling

Machine Learning

Python

Java

C++

SQL

Web Development

AWS

Data Visualization

Education

Master's degree in Computer Science or related field

Tools

Python ML libraries

Relational databases

Job description

Micron Technology, Inc. seeks a Package Design and Development Quality Assurance Engineer focused on data analytics. The role analyzes risk in new package tech, builds data pipelines, and applies ML/AI to improve QA processes. Collaboration across engineering teams and mentoring others are key parts of the job.

Responsibilities include automating data collection, delivering insights through visualizations, and presenting findings to varied audiences. A Master’s in CS or related field is required.