As an Engineer II, you will help validate enterprise SSD firmware through test development, automation, execution, and failure analysis. This role offers the opportunity to work with NVMe technologies, AI-enabled engineering tools, and machine learning concepts while collaborating with experienced firmware engineers, mentors, and data scientists. Your contributions will help improve testing efficiency, scalability, and product quality.

Responsibilities:

• Develop and implement firmware verification plans for customer requirements and NVMe features, including SMART, Trim, Get Log Page, and OCP
• Design and implement test methodologies to validate firmware functionality and reliability
• Analyze regression failures, perform root-cause analysis, and document findings and mitigation plans
• Develop and enhance Python-based test automation, reporting, and data-collection tools within established validation frameworks
• Leverage AI-powered tools and machine learning techniques to improve test efficiency, failure detection, and validation workflows

Minimum Qualifications:

• Bachelor's degree with approximately 3 years of relevant experience, or Master's degree, in Computer Science, Data Science, Electrical Engineering, Computer Engineering, or a related field
• Proficiency in Python and experience with libraries such as NumPy, pandas, and Scikit-learn
• Experience with test automation, testing methodologies, validation tools, and debugging complex technical issues
• Working knowledge of machine learning fundamentals, including algorithms, training concepts, and evaluation metrics
• Experience using AI-powered tools or AI-enabled workflows to improve engineering productivity and test quality

Preferred Qualifications:

• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Academic, research, or project experience in machine learning, data science, or artificial intelligence
• Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Claude, or similar technologies
• Understanding of embedded systems, firmware validation, or hardware testing concepts
• Familiarity with Git, Agile methodologies, and modern software development practices

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

$81,000.00 - $137,000.00 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 US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

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.

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