Firmware & Product Test Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+20 more
Job description
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. Working closely with firmware test engineers, senior mentors, and data scientists, the engineer gains hands-on experience at the intersection of firmware validation and AI/ML, contributing to more effective and scalable testing methodologies.
Department Introduction
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 these 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 (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., Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate’s true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Requirements
- 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 NumPy, 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.
Preferred Skills
- Exposure to ML frameworks such as TensorFlow 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., Algorithms, Artificial Intelligence (AI), Automation, Black Box Testing, Budgeting, Career Counseling, Code Coverage, Code Reviews, Communication Skills, Computer Engineering, Computer Firmware, Computer Science, Continuous Improvement, Cross-Functional, Data Collection, Data Science, Debugging Skills, Electrical Engineering, Embedded Systems, FPGA, Failure Analysis, Functional Testing, Git, Hardware Quality Assurance, Healthcare, Machine Learning, Maintain Compliance, Memory Hardware, Mentoring, Metrics, Process Improvement, Product Engineering, Product Testing, Prototyping, Python Programming/Scripting Language, Quality Assurance Methodology, Quality Engineering, Reliability Engineering, Root Cause Analysis, Security Protocols, Semiconductors, Simulation, Software Development, Solid State Drive (SSD), Team Player, Test Automation, Test Data, Test Plan/Schedule, Test Scripts, Test Tools, Testing, Verification Plans, White Box Testing
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careerbuilder.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Should senior developers refuse interview coding challenges?
Dev Digest 120 - Apple and peers
Data Science & more: The Lopez dilemma
Dev Digest 129 - Now that's what I call private data!