Staff Data Scientist-Silicon Layout Design

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 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. Build and develop solutions powered by machine learning for
silicon compose, 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 less experienced Data
Scientists, setting approaches 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 that invents data
analytics within semiconductor creation and manufacturing. ,Experience in
Semiconductor industry with focus on Silicon Design Analog Layout or Physical
design and CAD/EDA tools is highly desirable. 8+ years of hands‑on experience in
data science, silicon layout design, 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 or equivalent experience 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. About Micron Technology,
Inc. We are an industry leader in innovative memory and storage solutions
transforming how the world uses information to enrich life for all. With a
relentless focus on our customers, technology leadership, and manufacturing and
operational excellence, Micron delivers a rich portfolio of high-performance
DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial®
brands. Every day, the innovations that our people create fuel the data economy,
enabling advances in artificial intelligence and 5G applications that unleash
opportunities — from the data center to the intelligent edge and across the
client and mobile user experience. To learn more, please visit
micron.com/careers All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, veteran or disability status. To request
assistance with the application process and/or for reasonable accommodations,
please contact hrsupport_india@micron.com 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.