Staff Data Scientist-Silicon Design

What You'll Do

• 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 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.
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• However, all information provided must be accurate and reflect the candidate's true skills and experiences.
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