Staff AI CAD Engineering - Applications Engineer

The group you’ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam’s etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

The impact you’ll make We are seeking a highly specialized AI & CAD Engineering Applications Expert to lead the design, development, and deployment of AI‑driven automation and intelligence within CAD and engineering workflows. This role sits at the intersection of mechanical/electrical engineering, CAD system customization, and applied AI/ML, and will play a critical role in transforming traditional rule‑based CAD automation into data‑driven, intelligent engineering systems.

The ideal candidate brings deep hands‑on expertise in AI language models, Agentic AI applications, and AI project implementation. The candidate will also possess hands on experience and deep understanding of MCAD systems (NX / Creo) and functions with deep knowledge on generative AI capabilities, strong CAD automation and customization skills, and practical experience applying AI/ML in CAD automation and features, generative AI, or optimization techniques to engineering problems such as design validation, configuration, routing, change management, and knowledge reuse. The candidate may also work on AI CAD adjacent technologies and capabilities such as Digital Twin and Virtual Twin CAD visualization with AI derived data analytics.

What You’ll Do AI‑Driven CAD & Engineering Solutions

• Architect and develop AI‑enabled CAD automation solutions across the engineering lifecycle, 3D geometry creation and analysis(Including algorithms), concept design, detailed modeling, validation, detailing, and change management.
• Apply machine learning, generative AI, and optimization techniques to enhance CAD automation beyond traditional rule‑based scripting.
• Lead AI‑based initiatives.

CAD Automation & Customization

• Develop and maintain custom CAD applications and tools using NX Open / Creo APIs/Toolkit (Visual Basic, C#, C++, Python).
• Build robust CAD automation solutions covering modeling, assemblies, drawings, sheet metal, routing, and validation workflows.
• Integrate CAD with PDM/PLM systems (e.g., Teamcenter) and other enterprise systems using APIs, web services, and data pipelines. Applied AI & Data Engineering
• Design pipelines to extract, structure, and learn from CAD, BOM, drawing, and engineering standards data.
• Collaborate with data and platform teams to operationalize AI models within production CAD environments.
• Evaluate model performance, reliability, and scalability for engineering use cases.

Technical Leadership & Collaboration

• Act as AI/CAD Subject Matter Expert (SME) supporting engineering teams, CAD automation groups, and program managers.
• Partner with Product Groups, IT, and Key Lam AI Teams to identify high‑ROI AI opportunities in engineering workflows.
• Mentor engineers and developers on AI‑enabled CAD automation best practices.
• Develop Engineering CAD AI strategies, roadmaps and vision.

Who We’re Looking For Education & Experience

• Bachelor’s or Master’s degree in Mechanical, Electrical, Mechatronics, or related Engineering discipline.
• 8+ years of hands‑on experience with CAD systems and engineering applications, with 4+ years in CAD automation/customization.
• Deep and demonstrated experience applying AI/ML, optimization, or generative techniques to engineering or CAD‑adjacent problems.

Technical Skills

• Strong expertise in NX and/or Creo (modeling, assemblies, drawings).
• Proficiency with NX Open / Creo APIs, C#, C++, and/or Python.
• Solid foundation in geometry, numerical methods, and engineering physics.
• Experience with AI/ML concepts, including supervised learning, rule extraction, optimization, or generative models.
• Familiarity with SQL, REST APIs, data formats (XML/JSON), and system integration.

Preferred Qualifications

• Experience deploying AI in production CAD environments (not just POCs).
• Knowledge of PLM, engineering change management, and configuration workflows.
• Experienced with Teamcenter automation using SOA and ITK.
• Exposure to cloud platforms, GitHub, Scrum, DevOps, and MLOps concepts.
• Experience working in semiconductor or complex industrial engineering environments.

Impact & Success Metrics

• Reduction in engineerin…