Lead AI & Data Systems Architect for Semiconductors

Micron Technology

San Jose (CA)

On-site

USD 145,000 - 360,000

Full time

38 hours ago

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Job summary

Micron Technology is seeking a Lead Engineer to own the architecture and delivery of AI systems for semiconductor engineering. You will turn vague problems into designs, plans, and working software, guiding engineers and shaping technical direction.

You bring deep ML expertise and strong software, cloud deployment, and agentic AI skills. You will set direction, review designs, and help grow the team while solving hard problems alongside the team.

Qualifications

Bachelor's degree in CS/EE/Math or related field.
8 years of relevant experience or equivalent practical experience.
Led AI/ML or software programs as technical lead, directing work of other engineers.
Hands-on machine learning and statistical modeling: supervised learning, feature engineering, validation, performance evaluation.
Python fluency with PyTorch, TensorFlow, scikit-learn, or XGBoost. Shipped models into production — inference pipelines, APIs, CI/CD, monitoring.

Responsibilities

Set the architecture and technical direction for our applied AI, ML, and agentic AI work.
Design systems end to end: data pipelines, features, model development, evaluation, inference services, and monitoring.
Build the models engineers act on — prediction, diagnosis, optimization, and decision support for semiconductor applications.
Ship agentic AI for engineering analysis, knowledge retrieval, workflow automation, and decision support. Define guardrails and evaluations that earn trust.
Break wide-open challenges into roadmaps, turning points, and success criteria. Report progress, risk, and model limits plainly to engineers and executives.