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Onto Innovation · 5 hours ago

Lead AI Engineer — Semiconductor AI Innovation

Wilmington, MA

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies in semiconductor manufacturing. They are seeking a Lead AI Engineer to drive AI-powered solutions, lead a team of engineers, and integrate machine learning into core engineering and manufacturing processes.

3D TechnologyManufacturingSemiconductor

No H1B

U.S. Citizen Only

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 as-is processes and define a to-be AI/automation architecture and deliver measurable outcomes

Ship agentic assistants for use-cases. Stand up LLM + RAG + tool integrations (via MCP servers) that help engineers accelerate tool operation/setup/maintenance and explain trade-offs, grounded in internal docs, logs, and historical inspection outcomes

Lead projects across diverse areas: Predictive maintenance for tool health monitoring and failure detection. Computer vision for wafer defect detection, segmentation, and classification. LLM-based engineering assistants using RAG and MCP agents to make internal knowledge more accessible. Process optimization & yield improvement through data-driven insights and parameter tuning. Simulation and digital twins to model process behaviors and accelerate R&D

Build retrieval-augmented AI assistants to query internal knowledge bases, tools, and logs

Architect robust pipelines for data ingestion, labeling, storage, and retrieval across massive multi-modal datasets (images, telemetry, recipes, logs)

Stand up scalable MLOps infrastructure: model registries, monitoring, evaluation, deployment, and governance

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 safely and securely

Qualification

Machine LearningLarge Language ModelsPredictive ModelingComputer VisionMLOpsPythonC++/CUDAStakeholder CollaborationSemiconductor ManufacturingData Connectivity

Required

5+ years applied ML/AI experience, with 3+ years in a technical leadership role

Hands-on expertise with at least two of the following domains: Large Language Models - RAG, fine-tuning, agent frameworks, prompt optimization; Predictive Modeling - tool failure prediction, anomaly detection, time-series analysis; Computer Vision - defect detection, segmentation, or SEM/optical imaging

Strong background in ML systems architecture and production deployment

Advanced Python proficiency: C++/CUDA familiarity is a plus

Experience with MLOps stacks: containers, CI/CD, Ray Serve/Triton, model registries (e.g., MLflow), and GPU optimization

Strong stakeholder collaboration skills and the ability to translate between engineering, operations, and leadership

Demonstrated success delivering AI-powered products into production