Micron Technology
Semiconductor
Principal/StaffReliabilityEngineer–Statistics&DataScience
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optimal for Senior candidates.
“Principal / Staff Reliability Engineer – Statistics & Data Science at Micron Technology. Skills: Reliability engineering, Statistics, Data Science, AI/ML. Lead reliability data analysis and evaluation. Identify risks”
Industry & Context.
Analytical problem-solving
What They're Looking For.
Must Have
Master’s or PhD in Statistics, Data Science, Engineering, Computer Science, or 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, Analytical problem-solving skills, Ability to communicate complex technical concepts clearly
Nice to Have
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
What You'll Do.
Lead reliability data analysis and evaluation
Drive corrective actions
Develop reliability and statistical analysis tools
Maintain reliability and statistical analysis tools
Enhance reliability and statistical analysis tools
Develop automated workflows
Maintain automated workflows
Enhance automated workflows
Apply advanced statistics
Apply AI/ML techniques
Improve reliability evaluation
Improve reliability modeling
Improve engineering efficiency
Partner with Product Engineering
Partner with Process teams
Partner with Test teams
Partner with Fab teams
Partner with Quality teams
Influence manufacturing improvements
Influence test improvements
Provide technical guidance
Provide cross-functional support
How You'll Work.
Team & Collaboration
Cross-functional partners; Engineering teams; Manufacturing teams; Quality teams; Customer-facing teams
Communication Scope
Technical concepts; Technical training; Presentations
Full Job Description
**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. 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. **Key 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 **Minimum Qualifications** * 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
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