Hiring.Camp

Staff / Senior Product Engineer - Advanced Analytics

Micron Technology

·

Today

Location
SG
Type
Full-time
Department
Engineering
Seniority
Senior
Education
Master
Source
Eightfold

Description

Req. ID:

JR102524 Staff / Senior Product Engineer - Advanced Analytics

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.

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence.

About the Role

Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges.

This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows.

In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving.

Key Responsibilities:

Machine Learning & Advanced Analytics Development

  • Develop and deploy predictive and diagnostic ML models for Yield improvement, test time reduction (TTR) and cost optimization, NAND reliability analysis, and Qualification.
  • Apply advanced ML techniques on large‑scale structured semiconductor datasets, including wafer fab inline data, probe data, and test data
  • Build, validate, and maintain end‑to‑end ML workflows supporting NPI and HVM decision‑making
  • Use data‑driven methods to support root cause analysis of yield, reliability, and defectivity issues

Agentic AI & Engineering Automation

  • Design and implement agentic AI solutions to automate Product Engineering workflows (e.g. Yield and reliability analysis, test program validation and screening optimization, engineering report generation and data summarization)
  • Integrate AI agents with enterprise and engineering systems (e.g., JIRA, Confluence, SharePoint, internal analytics platforms)

Product Engineering Domain Collaboration

  • Work closely with Fab, NAND Technology Development, NAND Design, Test Solutions, Quality/Reliability, and System teams to:
  • Address reliability and defectivity failures during qualification
  • Support yield improvement, cost reduction, and test optimization initiatives
  • Drive data‑backed technical decisions for NAND product releases
  • Apply strong understanding of NAND manufacturing flows, defect mechanisms, and reliability requirements to ensure AI solutions are domain‑relevant and impactful

Citizen Data Scientist (CDS) Enablement & Technical Leadership

  • Mentor and guide Citizen Data Scientists within Product Engineering on applying machine learning techniques to real engineering problems with protocols embraced.d
  • Build structured learning paths, guidelines, and hands‑on training modules for ML and advanced analytics
  • Review and provide technical guidance on AI/analytics projects to ensure quality, rigor, and business impact

Qualifications & Experience

Education

  • Bachelor's/Master's Degree in Electrical / Electronic / Computer Engineering / Computer Science / Data Science.
  • With 3+ years of AI/ML Work Experience

Core Technical Skills

  • Strong proficiency in Python and data processing libraries (Pandas, NumPy, Scikit‑learn)
  • Hands‑on experience with ML models for structured/tabular data, including regression, tree‑based models, and gradient boosting
  • Ability to build, evaluate, and interpret ML models for engineering decision‑making

Additional / Preferred Skills

  • Semiconductor / NAND manufacturing or product engineering experience is strongly preferred
  • Experience with ML/DL frameworks (TensorFlow, PyTorch) for images, text, logs, or unstructured data
  • Exposure to LLM‑based and agentic AI frameworks (e.g., LangChain, Microsoft Copilot Studio, Claude)
  • Familiarity with cloud‑based AI platforms (e.g., Azure ML, AWS SageMaker)

Soft Skills

  • Strong analytical and problem‑solving skills
  • Excellent communication skills with the ability to translate data insights into engineering actions
  • Ability to work effectively in fast‑paced, cross‑functional environments

Why Join Us

  • Drive AI transformation in semiconductor Product Engineering
  • Work on high‑impact initiatives that improve yield, reliability, cost, and time‑to‑market
  • Opportunities for technical leadership, patents, and career growth in a world‑class semiconductor company

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, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn more about Micron, please visit micron.com/careers

Job Profile(s):

Semiconductor Product Engineer 3 - Semiconductor Product Engineer 4

Relocation level: (TBD)

Before Getting Started

Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:

  • Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
  • If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

​​​​

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 Benefits | Micron Technology, Inc

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, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

Skills

PythonAWSAzureMachine LearningTensorFlowPyTorchPandasNumPyData ScienceJiraConfluence

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