Senior 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 decisions, accelerate validation cycles, and maintain high product quality at scale.

We are seeking a Senior AI/ML Engineer to join the ViSTA AI/ML team. In this role, you will design, develop, and deploy AI/ML solutions that enhance firmware and hardware validation. You will work at the intersection of data science, software engineering, and test engineering to build intelligent systems that help predict failures, automate analysis, optimize test coverage, and improve validation efficiency across Micron platforms.

Responsibilities

Validation Intelligence & Analytics

• Develop machine learning models for automated root cause analysis of validation and test failures

• Build predictive analytics to support failure detection, forecasting, and risk identification

• Design pattern‑recognition techniques to identify failure signatures in historical validation data

• Develop dashboards and reporting tools that enable data‑driven validation decisions

Test Optimization

• Implement AI‑driven test selection and prioritization approaches based on code change risk

• Develop methods to identify test coverage gaps, overlaps, and inefficiencies

• Contribute to optimization solutions that reduce test execution time while maintaining quality

Automation & Infrastructure

• Develop AI‑powered test generation solutions using requirements and code change data

• Build adaptive test execution capabilities informed by historical performance data

• Assist with integrating LLM‑based capabilities into validation workflows where appropriate

Cross‑Functional Collaboration

• Work with firmware, hardware, and system teams to understand validation challenges

• Collaborate with validation engineers to translate domain knowledge into ML features

• Partner with platform and infrastructure teams to deploy and maintain AI/ML solutions

• Support adoption of AI tools through documentation, training, and team enablement

Minimum Qualifications

• 4+ years of industry experience with a Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related technical field

• 5+ years of software development experience, primarily using Python

• Solid understanding of machine learning fundamentals, including model development, evaluation, and feature engineering

• Experience with ML frameworks such as scikit‑learn, TensorFlow, PyTorch, or similar

• Experience building and deploying ML solutions in production or large‑scale environments

Preferred Qualifications

• Master’s degree with a focus on Machine Learning, Artificial Intelligence, or Data Science

• Experience working with Large Language Models (LLMs) and prompt engineering

• Familiarity with MLOps concepts, including CI/CD, model monitoring, and experimentation

• Experience applying NLP or analytical techniques to logs, test data, or documentation

• Background in firmware, embedded systems, semiconductor, or hardware validation environments

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$91,000.00 - $193,000.00 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