Micron Technology · 5 hours ago
MTS, Data Science Agentic Platforms
Micron Technology is a world leader in innovating memory and storage solutions. They are seeking a Data Science expert to develop AI and data-driven solutions for semiconductor process and fab technology development, focusing on optimizing workflows and enabling intelligent automation.
ComputerHardwareManufacturingSemiconductor
Responsibilities
Own the creation of AI systems optimizing semiconductor design, product engineering, verification & validation, and manufacturing workflows using large-scale data
Architect and implement Agentic AI systems that integrate with Modeling tools, EDA tools, design environments, and product/manufacturing test platforms to automate tasks such as spec translation, design verification, product validation, and test log root cause analysis for components and system-level products
Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in live environments, ensuring reliability, efficiency, and maintainability
Benchmark and evaluate model performance using structured evaluation frameworks, and continuously refine models through timely tuning, RLHF, and feedback loops
Collaborate with multi-functional teams—including process engineers, design engineers, product and test engineers, and data scientists—to define high-impact problem statements and deliver scalable AI solutions
Communicate technical insights and solution strategies clearly to both technical and non-technical team members through compelling data storytelling and visualizations
Qualification
Required
Must have a Master's, PhD, or equivalent experience in Electrical Engineering, Computer Science, or a related field
Proficient in Python, with five years of experience working with a variety of semiconductor design & process datasets. Proficient in using enterprise data platforms like Snowflake, BigQuery, MSSQL, Oracle, and AWS Redshift for scalable data processing and analysis
Hands-on experience building and leading AI/ML projects involving LLMs, RAG, and Agentic workflows deployed, demonstrated expertise in ML frameworks such as PyTorch or TensorFlow
Solid understanding of domain-adapted LLM training with practical experience, including pretraining, post training on in-domain synthetic datasets, and model quantization for efficient deployment
Must have shown cloud platform experience such as GCP, AWS, or Azure, including deployment of ML pipelines in production environments
Familiarity with LLM evaluation and benchmarking techniques, including RLHF, timely tuning, and reward modeling for hardware-aware use cases
Consistent track record to independently drive AI/ML projects from problem prioritization through deployment in semiconductor environments
Excellent interpersonal experience with the ability to collaborate with process technology, silicon design, design verification, validation, and product engineering teams, and translate sophisticated AI/ML concepts into actionable solutions for hardware development
Preferred
Experience includes direct application of AI/ML to semiconductor design, processing, workflows
Deep understanding of semiconductor-specific AI/ML applications
Experience with CI/CD pipelines and MLOps practices for ML/LLM deployment
Strong understanding of agentic AI frameworks (e.g., LangGraph, AutoGen) and evaluation tools (e.g., AgentEval)
Shown proficiency in translating sophisticated technical concepts into actionable insights for multi-functional teams!
Benefits
Choice of medical, dental and vision plans
Benefit programs that help protect your income if you are unable to work due to illness or injury
Paid family leave
Robust paid time-off program
Paid holidays
Company
Micron Technology
Micron Technology is a semiconductor company that produces DRAM, SDRAM, flash memory, SSD and CMOS image sensing chips.
H1B Sponsorship
Micron Technology has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (573)
2024 (429)
2023 (299)
2022 (626)
2021 (564)
2020 (538)
Funding
Current Stage
Public CompanyTotal Funding
$8.9BKey Investors
U.S. Department of Commerce
2025-04-24Post Ipo Debt· $1.75B
2025-01-16Post Ipo Debt· $1B
2024-04-18Grant· $6.1B
Leadership Team
Recent News
2025-12-30
The Motley Fool
2025-12-29
Company data provided by crunchbase