Principal AI/ML Engineer, Validation Strategy & Test Architecture

Job Title

Principal AI/ML Engineer, Validation Strategy & Test Architecture

Role Summary

The Validation Strategy & Test Architecture (ViSTA) AI/ML team integrates AI/ML into firmware and hardware validation workflows. This principal role designs, develops, and deploys AI/ML systems to predict failures, automate analysis, optimize test coverage, and improve validation efficiency across Micron platforms.

Experience Level

Senior — Principal-level role. Minimum industry guidance: 8+ years of relevant experience.

Responsibilities

Deliver AI/ML capabilities across validation engineering, test optimization, and automation.

• Develop ML models for automated root-cause analysis of validation and test failures.
• Build predictive analytics for failure forecasting and risk identification.
• Design pattern-recognition algorithms to detect failure signatures in historical data.
• Create validation intelligence dashboards to support data-driven decisions.
• Implement AI-driven test selection and prioritization based on code change risk.
• Identify test coverage gaps and reduce redundancies while preserving confidence.
• Develop AI-powered test generation and adaptive, self-healing test execution systems.
• Integrate Large Language Models into validation workflows where appropriate.
• Partner with firmware, hardware, and system teams to define needs, extract ML features, and deploy scalable solutions.
• Enable AI adoption through tooling, guidance, and cross-team collaboration.

Requirements

Core technical skills and proven production experience required; preferred skills listed separately.

• At least 8 years industry experience working on technical engineering projects.
• 7+ years of software development experience, primarily using Python.
• Strong foundation in machine learning fundamentals, including model evaluation and feature engineering.
• Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Experience deploying and maintaining ML models in production environments.
• Demonstrated ability to translate domain validation knowledge into ML features and production systems.
• Nice-to-have: experience with LLMs and prompt engineering, MLOps and model monitoring, CI/CD for ML, NLP on logs or test data, semiconductor/firmware/validation domain experience, and building predictive failure or reliability analytics.

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related technical field is listed as a minimum. Preferred: a Master's degree focused on Machine Learning, Artificial Intelligence, or Data Science.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.