Principal / Staff Reliability Engineer – Statistics & Data Science

Micron • Boise, ID

6d

About The Position

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. We are seeking a senior-level engineer to support quality and reliability across Micron’s product families. In this role, you will apply reliability engineering, statistics, data science, AI, and software engineering expertise to analyze reliability data, develop scalable tools, and improve engineering workflows. You will serve as a technical expert and collaborate closely with cross‑functional partners across engineering, manufacturing, quality, and customer‑facing teams.

Requirements

• Master’s or PhD in Statistics, Data Science, Engineering, Computer Science, or a related quantitative field
• 5–10 years of industry experience in reliability engineering, applied statistics, data science, or software engineering
• Proficiency in at least one programming or scripting language (e.g., Python, R, JMP scripting, or equivalent) and statistical/analytical tools
• Strong analytical problem‑solving skills and the ability to communicate complex technical concepts clearly

Nice To Haves

• PhD with deep expertise in reliability modeling, applied statistics, or data science
• Experience developing engineering software tools, analysis platforms, or automation pipelines
• Background in semiconductor or other complex manufacturing environments
• Experience applying AI/ML techniques to engineering, reliability, or manufacturing challenges
• Knowledge of semiconductor fabrication, probe, test, or related processes (e.g., DRAM, NAND)
• Use of modern software development practices such as version control, modular design, testing, and documentation
• Experience with predictive modeling, anomaly detection, generative AI, or AI‑assisted engineering analysis
• Familiarity with model lifecycle concepts, MLOps, or integrating AI solutions into production engineering workflows
• Understanding of responsible AI, data governance, and model validation practices
• Experience mentoring, teaching, or delivering technical training and presentations to diverse audiences.
• Ability to work independently, manage complex technical efforts, and deliver high‑quality results

Responsibilities

• Lead reliability data analysis and evaluation at component, system, and product levels to identify risks and drive corrective actions
• Develop, maintain, and enhance reliability and statistical analysis tools, platforms, and automated workflows using sound software engineering practices
• Apply advanced statistics, data science, and AI/ML techniques to improve reliability evaluation, modeling, and engineering efficiency
• Partner with Product Engineering, Process, Test, Fab, and Quality teams to influence manufacturing and test improvements
• Act as a subject matter expert, providing technical guidance, training, and cross‑functional support in reliability, statistics, and data science

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior