Lead AI Engineer responsible for setting vision, building team, and delivering AI solutions at scale in semiconductor manufacturing.
Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Purchase Program (ESPP) along with health & wellness initiatives.
- Define 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, computer vision for wafer defect detection, LLM-based engineering assistants, process optimization & yield improvement, simulation and digital twins, build retrieval-augmented AI assistants, architect robust pipelines for data ingestion, labeling, storage, and retrieval across massive multi-modal datasets, stand up scalable MLOps infrastructure, hire, mentor, and manage a team of 3 engineers, work cross-functionally to integrate AI solutions into production environments safely and securely.
- Nice to have: Familiarity with semiconductor manufacturing
- Nice to have: Understanding of fab interfaces and data connectivity
- Nice to have: Prior experience deploying digital twins
- Nice to have: Knowledge of vector databases
- Nice to have: Experience implementing safety, security, and IP protections for AI systems
- health/dental/vision/life/disability
- PTO
- 401K plan with employer match
- Employee Stock Purchase Program (ESPP)
Senior Systems & Infrastructure EngineerSE3 Labs · Munich, Germany