Onto Innovation

Lead AI Engineer — Semiconductor AI Innovation

Job Description

Posted on: 
2026-03-26

Responsibilities

  • Define the AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
  • Partner with tool, process, and applications engineers to map processes and define AI/automation architecture.
  • Ship agentic assistants for use-cases, including predictive maintenance and computer vision for wafer defect detection.
  • Architect robust pipelines for data ingestion, labeling, storage, and retrieval across multi-modal datasets.
  • Stand up scalable MLOps infrastructure for model management and deployment.
  • Hire, mentor, and manage a team of 3 engineers focused on LLM/Agents, CV/ML, and MLOps/Data.
  • Work cross-functionally to integrate AI solutions into production environments.

Job Requirements

  • 5+ years applied ML/AI experience, with 3+ years in a technical leadership role.
  • Hands-on expertise with large language models, predictive modeling, and computer vision.
  • Strong background in ML systems architecture and production deployment.
  • Advanced Python proficiency; familiarity with C++/CUDA is a plus.
  • Experience with MLOps stacks and GPU optimization.
  • Strong stakeholder collaboration skills.
  • Familiarity with semiconductor manufacturing, inspection, or metrology is a plus.
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