Senior Firmware & Product Test Engineer

Summary Of The Role

As a Senior Engineer on the Firmware & Product Testing (FPT) team, you will support the validation of enterprise SSD firmware through test development, automation, execution, and failure analysis. This role focuses on NVMe front‑end features and customer specifications while applying Python‑based automation and data‑driven techniques to improve test efficiency and product quality. You will work closely with firmware test engineers, senior mentors, and data scientists, gaining hands‑on experience at the intersection of firmware validation and AI/ML, and contributing to more effective and scalable testing methodologies.

The Firmware & Product Test (FPT) team validates 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, across simulation, FPGA prototyping, and prototype hardware environments.

• Develop and execute firmware verification plans for customer specifications and NVMe protocols used in enterprise SSDs, with emphasis on front‑end features (e.g., SMART, Trim, Get Log Page, 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.

• Education:
  
  Bachelor’s degree with ~5 years of relevant experience, or master’s degree in computer science, Data Science, Electrical/Computer Engineering, or a related field.
• 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 (common algorithms, training concepts, 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.
• Hands‑on validation experience and ability to work independently.

• Exposure to ML frameworks such as Tensor Flow or PyTorch.
• Hands‑on academic or project experience in machine learning, data science, or AI.
• Basic understanding of embedded systems, firmware, or hardware testing concepts.
• Familiarity with software development practices, including Git and agile workflows.

US base salary range: $98,000.00 – $ a year. Additional compensation may include benefits, bonuses, and equity.

Micron benefits include medical, dental, and vision plans. Employees can choose the plans that best meet their family healthcare needs and budget. Additional programs protect income if you are unable to work due to illness or injury, provide paid family leave, robust paid time‑off, and paid holidays. For more information, see the Benefits Guide posted on

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.