Principal AI​/ML Engineer, Validation Strategy & Test Architecture

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.

The Validation Strategy & Test Architecture (ViSTA) AI/ML team leads the integration of artificial intelligence and machine learning into firmware and hardware validation workflows. The team bridges advanced AI capabilities with practical validation engineering to enable data‑driven decision‑making, accelerate validation cycles, and maintain high product quality  are seeking a Principal AI/ML Engineer to join the ViSTA AI/ML team. In this role, you will design, develop, and deploy AI/ML solutions that transform firmware and hardware validation.

You will work at the intersection of data science, software engineering, and test engineering to build intelligent systems that predict failures, automate analysis, optimize test coverage, and improve validation efficiency across Micron platforms.

Responsibilities Validation Intelligence & Analytics 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 identify failure signatures in historical data Create validation intelligence dashboards that support data‑driven engineering decisions

Test Optimization Implement AI‑driven test selection and prioritization based on code change risk Develop systems to identify test coverage gaps and redundancies

Build optimization engines that reduce test runtime while preserving confidence

Automation & Infrastructure Develop AI‑powered test generation from requirements and code changes

Build adaptive and self‑healing test execution systems using historical performance data Integrate Large Language Models (LLMs) into validation workflows to improve efficiency

Cross‑Functional Collaboration Partner with firmware, hardware, and system architecture teams to define validation needs

Translate validation domain expertise into ML features with validation engineers

Collaborate with platform teams to deploy and scale AI/ML solutions

Drive AI adoption across validation teams through tooling, guidance, and enablement

Minimum Qualifications 8+ years of industry experience with a Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related technical field7+ 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, Tensor Flow, or Py Torch Experience  deploying and maintaining ML models in production environments

Preferred Qualifications Master's degree with focus on Machine Learning, Artificial Intelligence, or Data Science Experience working with Large Language Models (LLMs) and prompt engineering

Familiarity with MLOps pipelines, model monitoring, and CI/CD practices

Experience applying NLP techniques to logs, test data, or technical documentation

Background in semiconductor, storage, firmware, or hardware validation domains

Experience building predictive failure or reliability analytics systems

The US base salary range that Micron Technology estimates it could pay for this full-time position is:$ - $ a year Additional compensation may include benefits, bonuses and equity.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in…