Staff AI-CAD Applications Engineer
About The Position
The Staff AI-CAD Applications Engineer will lead the design, development, and deployment of AI-driven automation and intelligence in CAD and engineering workflows. The role combines mechanical/electrical engineering, CAD system customization, and applied AI/ML to transform rule-based CAD automation into data-driven engineering systems. The engineer will apply language models, Agentic AI, generative AI, machine learning, and optimization to engineering challenges such as design validation, configuration, routing, change management, and knowledge reuse. The position may also involve Digital Twin and Virtual Twin CAD visualization with AI-derived data analytics. The role includes developing and maintaining customized CAD tools, connecting CAD applications to PLM and enterprise systems, and building data pipelines that enable AI models to operate in production CAD environments. The engineer will serve as an AI/CAD subject matter expert, partner with engineering, IT, product groups, and AI teams, mentor other engineers and developers, and develop CAD AI strategies and roadmaps. Success will be measured by reduced engineering cycle time, greater automation coverage and model quality, adoption of AI tools, and improvements in design consistency, product quality, development lead time, and compliance. This position is part of Lam Research’s Global Products Group, which designs and engineers etch and deposition products for the semiconductor industry. Lam describes its work-location models as hybrid options, but the specific model for this position is not stated. The posted salary range is $141,000 to $307,000 for applicants residing in California and most states; actual offers depend on factors including location, level, education, training, skills, experience, and internal comparisons. Lam states that it offers a comprehensive set of benefits, without listing specific benefits in the posting.
Requirements
- Bachelor’s or Master’s degree in Mechanical, Electrical, Mechatronics, or a related Engineering discipline.
- At least 8 years of hands-on experience with CAD systems and engineering applications.
- At least 4 years of experience in CAD automation or customization.
- Demonstrated experience applying AI/ML, optimization, or generative techniques to engineering or CAD-adjacent problems.
- Strong expertise in NX and/or Creo, including modeling, assemblies, and drawings.
- Proficiency with NX Open or Creo APIs and 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, XML/JSON data formats, and system integration.
Nice To Haves
- Experience deploying AI in production CAD environments, beyond proof-of-concept work.
- Knowledge of PLM, engineering change management, and configuration workflows.
- Experience with Teamcenter automation using SOA and ITK.
- Exposure to cloud platforms, GitHub, Scrum, DevOps, and MLOps concepts.
- Experience in semiconductor or complex industrial engineering environments.
Responsibilities
- Architect and develop AI-enabled CAD automation solutions across the engineering lifecycle, including 3D geometry creation and analysis, concept design, detailed modeling, validation, detailing, and change management.
- Apply machine learning, generative AI, and optimization techniques to improve CAD automation beyond traditional rule-based scripting.
- Lead AI-based initiatives.
- Develop and maintain custom CAD applications and tools using NX Open or Creo APIs/Toolkit and languages including Visual Basic, C#, C++, and Python.
- Build CAD automation solutions for modeling, assemblies, drawings, sheet metal, routing, and validation workflows.
- Integrate CAD with PDM/PLM systems such as Teamcenter and other enterprise systems using APIs, web services, and data pipelines.
- 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 in production CAD environments.
- Evaluate model performance, reliability, and scalability for engineering use cases.
- Act as an AI/CAD subject matter expert supporting engineering teams, CAD automation groups, and program managers.
- Partner with Product Groups, IT, and 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.
Benefits
- Lam states that it offers a comprehensive set of benefits, but does not identify specific benefits in this posting.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
