Ai Engineering Architect – Agentic Ai & Digital Engineering

KLA

Milpitas, CA, USA
Base: $186,200.00 - $316,500.00 annually; bonus/eq...
Not specified
Agentic ai and multi-agent systems
Euv source health analytics
Digital thread and mbse integration
KLA is seeking an AI Engineering Architect to lead the development and deployment of AI solutions for the semiconductor manufacturing sector in Milpitas, CA. The ideal candidate will have a strong background in AI integration with engineering workflows and relevant experience in semiconductor technology

Job Summary

  • This role focuses on defining and deploying AI solutions for EUV source development and next-generation actinic inspection engineering.
  • The position requires owning the AI roadmap to reduce engineering iteration and accelerate development readiness for advanced systems.
  • KLA invests 15% of sales back into R&D and offers a comprehensive benefits package including tuition reimbursement and stock purchase programs.

Matching Summary

Match Score: 85

KLA is seeking an AI Engineering Architect to lead the development and deployment of AI solutions for the semiconductor manufacturing sector in Milpitas, CA. The ideal candidate will have a strong background in AI integration with engineering workflows and relevant experience in semiconductor technology.

Salary

Base: $186,200.00 - $316,500.00 Annually; Bonus/Equity: Performance incentive programs and ESPP available; Benefits: Medical, dental, vision, 401(K) matching, tuition reimbursement, and paid time off

Skills & Requirements

Must-have

  • Agentic AI and multi-agent systems
  • EUV source health analytics
  • Digital thread and MBSE integration
  • CAD/PLM/PDM data interoperability
  • Time-series forecasting and anomaly detection

Nice-to-have

  • Experience with optics or plasma systems
  • Knowledge of vacuum system engineering
  • Background in advanced chip design
  • Strong problem-solving culture
  • Innovation-focused R&D environment

Key Requirements

  • Doctorate degree with 5 years experience OR Master's with 8 years OR Bachelor's with 12 years
  • Master's or PhD in Computer Science, AI/ML, Data Science, or related engineering fields
  • Hands-on experience building AI/ML solutions for complex industrial workflows

Work Rights

Not specified

Tailored Resume

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