Onto Innovation

Lead AI Engineer — Semiconductor AI Innovation

Job Description

Posted on: 
2026-05-08

Responsibilities

  • Define the AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
  • Partner with engineers to map existing processes and define AI/automation architecture.
  • Lead projects in predictive maintenance, computer vision for defect detection, and LLM-based engineering assistants.
  • Build AI assistants to query internal knowledge bases and tools.
  • Architect robust pipelines for data ingestion and storage across multi-modal datasets.
  • Establish scalable MLOps infrastructure for model management and deployment.
  • Hire, mentor, and manage a team of engineers focused on AI and machine learning.

Job Requirements

  • 5+ years of applied ML/AI experience, with 3+ years in a technical leadership role.
  • Hands-on expertise in large language models, predictive modeling, and computer vision.
  • Strong background in ML systems architecture and production deployment.
  • Advanced proficiency in Python; familiarity with C++/CUDA is a plus.
  • Experience with MLOps stacks and GPU optimization.
  • Strong collaboration skills with the ability to communicate across teams.
  • Demonstrated success in delivering AI-powered products into production.
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