
Leading company in the technology industry
Principal / Staff Reliability Engineer – Statistics & Data Science at Micron
About the role
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 technical concepts clearly
Preferred Qualifications
- 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
Additional Information (Capabilities)
Successful candidates often demonstrate strengths in several of the following areas:
- 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
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.
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.
To learn about your
[right to work click here.](http: //www.justice.gov/crt/worker-information)
To learn more about Micron, please visit
[micron.com/careers](https: //www.micron.com/careers)
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
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.
Required skills
Statistics
Data science
Reliability engineering
AI/ML
Software engineering
Data analysis
Workflow automation
Technical leadership
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About Micron

Micron
PublicMicron Technology is a global leader in memory and storage solutions, manufacturing DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications.
10,001+
Employees
Boise
Headquarters
$100B
Valuation
Reviews
10 reviews
3.6
10 reviews
Work-life balance
2.8
Compensation
3.5
Culture
4.1
Career
2.7
Management
3.0
65%
Recommend to a friend
Pros
Supportive management and great team culture
Excellent health benefits and compensation
Cutting-edge technology and interesting projects
Cons
Long hours and heavy workload
High pressure environment leading to burnout
Limited career advancement opportunities
Salary Ranges
37 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Science Engineer
1 reports
$143,960
total per year
Base
$110,739
Stock
-
Bonus
-
$143,960
$143,960
Interview experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round Interview
5
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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