Staff Data Scientist, Agentic Platform
Company: Micron Technology
Location: Campbell
Posted on: March 10, 2026
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Job Description:
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. Micron’s Data Science team builds AI and
data driven capabilities that power breakthroughs in semiconductor
process technology, product engineering, and manufacturing. We work
hands-on with massive datasets, advanced modeling tools, and
cross-disciplinary engineering teams to push the boundaries of
intelligent automation and decision-making. In this role, you’ll
design and deploy AI systems that directly accelerate semiconductor
design, verification, validation, and manufacturing. You’ll shape
how agentic AI, LLMs, and automated decision systems integrate into
Micron’s workflows, improving speed, accuracy, and scalability
across the company. Responsibilities : • Build AI systems that
optimize semiconductor design, engineering, validation, and
manufacturing workflows using large-scale data • Architect agentic
AI systems that integrate with modeling tools, EDA platforms,
design environments, and product/test ecosystems • Define and
promote Best Known Methods for deploying LLMs and agentic systems
in production environments • Evaluate and refine models using
structured benchmarking, tuning, RLHF, and continuous feedback •
Work with process, design, product, and test engineering teams to
identify high-impact opportunities and deliver scalable solutions
Minimum Qualifications: • Master’s, PhD, or equivalent experience
in Electrical Engineering, Computer Science, or related field with
10 years relevant experience • Proficient in Python with experience
working with semiconductor design and process datasets • Experience
using enterprise data platforms such as Snowflake, BigQuery, MSSQL,
Oracle, or Redshift • Hands-on experience developing and deploying
AI/ML systems involving LLMs, RAG, agentic workflows, and
frameworks such as PyTorch or TensorFlow • Experience training and
optimizing domain-adapted LLMs, including pretraining,
post-training on synthetic datasets, and model quantization • Cloud
experience with GCP, AWS, or Azure, including deploying ML
pipelines in production • Demonstrated ability to lead AI/ML
initiatives independently in semiconductor or hardware environments
Preferred Qualifications: • Experience applying AI/ML directly to
semiconductor design, fabrication, or validation • Deep
understanding of semiconductor-specific AI/ML applications •
Experience with CI/CD and MLOps for ML/LLM deployment • Familiarity
with agentic AI frameworks such as LangGraph or AutoGen and
evaluation tools like AgentEval • Strong ability to translate
complex technical concepts into practical solutions for
cross-functional teams The US base salary range that Micron
Technology estimates it could pay for this full-time position is:
$136,000.00 - $290,000.00 a year Additional compensation may
include benefits, bonuses and equity. Our salary ranges are
determined by role, level, and location. The range displayed on
each job posting reflects the minimum and maximum target base pay
for new hire salaries of the position across all US locations.
Within the range, individual pay is determined by work location and
additional job-related factors, including knowledge, skills,
experience, tenure and relevant education or training. The pay
scale is subject to change depending on business needs. Your
recruiter can share more about the specific salary range for your
preferred location during the hiring process.
Keywords: Micron Technology, South San Francisco , Staff Data Scientist, Agentic Platform, Engineering , Campbell, California
