Staff Engineer, FW & Product Test Eng

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. OUR VISION To redefine the global use of information, enriching life for everyone. Micron Technology is an industry leader in memory and storage solutions, enabling the acceleration of information into actionable intelligence and fostering rapid progress in learning, communication, and technological development.

The Firmware & Product Test (FPT) team at Micron Technology holds a pivotal role in validating firmware specifications for SSDs. The team develops comprehensive verification plans, implements them using Python, and ensures strict adherence to NVMe standards and security protocols. Testing methodologies include white-box, grey-box, and black-box approaches conducted on a module-by-module basis throughout firmware development and integration. Validation occurs across multiple environments, including simulation, FPGA prototyping, and prototype hardware.

• Develop and execute firmware verification plans for customer specifications and NVMe protocols used in enterprise SSDs, with emphasis on front-end features such as SMART, Trim, Get Log Page, and OCP.
• Design and implement grey-box, white-box, and black-box test methodologies to verify firmware functionality and robustness.
• Analyze failures from weekly regressions, perform root-cause analysis, and clearly document findings with guidance from senior engineers.
• Contribute to test development, execution, automation, and reporting within established FPT frameworks.
• Communicate test results, challenges, and mitigation plans effectively to firmware, cross-functional teams, and management.
• Participate in code reviews and contribute to improving test coverage and code quality.
• AI-Assisted Test Automation:
  Develop and enhance Python-based test automation scripts and data-collection tools; apply AI/ML techniques where appropriate to improve test efficiency and failure detection.
• Data & ML Exposure:
  Assist in applying and tuning machine-learning models for anomaly detection or failure-pattern identification based on test data.
• Collaborate closely with firmware engineers, test developers, and AI/ML contributors to continuously improve product reliability.
• Leverage AI-Assisted, AI-Augmented, and AI-Supported development practices to improve test development, debugging efficiency, and validation coverage.
• Apply Generative AI, LLMs (Large Language Models), and AI Assistant technologies to accelerate test creation, failure analysis, documentation, and reporting.
• Develop and evaluate Agentic AI and agent-based solutions that automate repetitive validation workflows and improve engineering productivity.
• Utilize modern AI coding tools such as Code Assist, Cloud Assist, Roo Code, and other AI-enabled development environments to improve software quality and delivery velocity.

• Education:
  
  Bachelor’s degree with approximately 9 years of relevant experience, or a Master’s degree in Computer Science, Data Science, Electrical/Computer Engineering, or a related field with 7 years of experience.
• Programming:
  Proficiency in Python; familiarity with libraries such as Num Py, pandas, and basic scikit-learn usage.
• Testing Fundamentals:
  Good understanding of test automation, testing methodologies, and test tools.
• Machine Learning Basics:
  Working knowledge of ML fundamentals, including common algorithms, training concepts, and evaluation metrics.
• Analytical
  
  Skills:
  
  Strong problem-solving and analytical ability; comfort working with data and debugging complex issues.
• Collaboration:
  
  Ability to work effectively in a team environment and communicate technical concepts clearly.
• Demonstrated interest in Artificial Intelligence, including experience using AI, applying AI, or leveraging AI tools for software development, automation, or data analysis.
• Foundational understanding of LLMs (Large Language Models), prompt engineering, or AI-driven…