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 in data science applied to semiconductor design and 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 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.