Staff Data Scientist-Silicon Design

Req. ID

JR96983 Staff Data Scientist‑Silicon Design

Vision

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

Company Overview

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.

Role Overview

We are seeking a Staff Data Scientist to build and deploy state‑of‑the‑art data products including predictive analytics, prescriptive optimization, decision support, and automated decision systems using large‑scale data from silicon design, verification and physical layout.

This role requires deep expertise in machine learning, statistical modelling, and optimization, with strong exposure to semiconductor design flows and modern AI techniques such as Large Language Models (LLMs), Graph Neural Networks (GNNs), and Reinforcement Learning (RL). You will operate at the intersection of data science, EDA, and manufacturing systems, driving high‑impact innovation across Micron’s technology development and fab operations.

Key Responsibilities

• Apply advanced techniques from machine learning, statistics, optimization, semiconductor physics, materials science, and computer science to extract insights and build robust models from complex semiconductor data.
• Design and develop ML‑driven solutions for silicon design, verification, physical layout, yield learning, defect analysis, and manufacturing optimization.
• Leverage LLMs for semiconductor specific use cases such as EDA, design knowledge extraction, requirement analysis, failure triage, and decision automation.
• Build Graph‑based models (GNNs) to represent and analyse netlists, layout graphs, dependency graphs, and process flows.
• Develop and apply optimization algorithms, including reinforcement learning, for design space exploration, tool parameter tuning, scheduling, and process optimization.
• Independently architect and implement scalable data pipelines, feature engineering frameworks, and ML systems that operate on terabyte‑ and petabyte‑scale datasets.
• Integrate data from EDA tools, design databases and other verification systems.
• Partner closely with Design Engineering, Verification, Layout, CAD and software teams to deliver production‑grade data products.
• Mentor and technically guide senior and junior Data Scientists, setting best practices for modelling, experimentation, and software quality.
• Drive innovation, exploratory research, and new solution development, translating ideas into deployable systems with measurable business impact.

Required Qualifications

• Strong passion for building a career in data science applied to semiconductor design and high‑volume manufacturing.
• Experience in Semiconductor industry with focus on Silicon Design and CAD/EDA tools is highly desirable.
• 8+ years of hands‑on experience in data science, machine learning, and advanced analytics.
• Deep experience with:
  • Mathematical modelling and Statistical inference
  • Feature extraction and representation learning
  • Supervised, unsupervised, and semi‑supervised learning
• Demonstrated experience applying optimization techniques, including reinforcement learning, to real‑world engineering or manufacturing problems.
• Strong programming skills in Python (and/or R) with production‑quality coding standards.
• Experience working with large‑scale data systems and advanced databases, including SQL and distributed data platforms.
• Proven ability to design, build, and deploy end‑to‑end ML solutions in collaboration with cross‑functional engineering teams.
• Strong software engineering fundamentals and experience building maintainable, scalable systems.
• Hands‑on experience with LLMs (fine‑tuning, retrieval‑augmented generation, domain adaptation).
• Experience with Graph Neural Networks applied to structured engineering data (e.g., netlists, layouts, dependency graphs).

Education

• Bachelor’s degree in Mathematics, Computer Science, Data Science, Electrical/Electronics Engineering, Chemical Engineering, or Physics.
• Master’s or Ph.D. with specialization in Data Analytics, Computer Science, Statistics, Mathematics, or Physics preferred.

Job Profile(s)

Data Scientist 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.

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 Benefits | Micron Technology, Inc.

Equal Opportunity Statement

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