Staff AI-CAD Applications Engineer at Lam Research · US-CA-Fre…

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.

Impact & Success Metrics

• Reduction in engineering cycle time through AI‑enabled CAD automation.
• Increased automation coverage and model quality.
• Adoption of AI‑based tools across product groups.
• Measurable improvements in design consistency, product quality, product development lead-time, and design compliance.

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.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.