Modeling Engineer 3 (CFD, Thermal, AI/ML)

About the role

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.

Responsibilities

• Developing physics-based models for Thermal/CFD/Chemistry applications for components in semiconductor capital equipment industry.
• Experience in commercial software like ANSYS Fluent, Star CCM+, or COMSOL, etc., is highly desirable.
• Utilizing DOE, Optimization, and statistical methods and data-driven modeling to correlate Simulation data to experimental data.
• Predict, measure, and analyze the experimental data for uncertainty Quantification & propagation, sensitivity analysis, statistical inference for model calibration, decision making under uncertainty.
• Multi-scale modeling from nano, meso to macro levels.
• Provide design improvements of in-service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.
• Provide written reports and oral presentations of results to design teams and management.
• Work directly with mechanical, electrical, process and software engineers to define design requirements, goals and objectives of design, CIP, testing and simulation plans.
• Strong written and oral communication.
• Self-starter to start own initiatives and projects for continuous improvement in capabilities and design.

Requirements

• PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid Dynamics, Heat transfer, Chemistry, or related fields; and 0-3 years professional experience.
• Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software.
• Coding ability to supplement commercial software for specific applications as needs arise.
• Ability to effectively communicate and build relationships to interact, inform, influence, and communicate with key stakeholders at all levels across the company.
• Strong critical thinking skills demonstrated through problem-solving, attention to detail and innovation.
• Strong analytical skills demonstrated through First Principles Thinking, statistical Analysis and Physics-based Insights.

Qualifications

• Preferred knowledge of chemistry, semiconductor metrology methods, and hardware designs in a vacuum environment.
• Ability to work within a team to own and design concepts and drive design decisions.
• Established skills in building AI/ML models using simulation data.
• Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning.
• General understanding of uncertainty quantification, Bayesian optimization and probabilistic machine learning.

Skills

• Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software.
• Coding ability to supplement commercial software for specific applications as needs arise.
• Strong critical thinking skills demonstrated through problem-solving, attention to detail and innovation.
• Strong analytical skills demonstrated through First Principles Thinking, statistical Analysis and Physics-based Insights.

Benefits

• Comprehensive set of outstanding benefits including:
• Investment in you throughout the phases of your life.
• Hybrid roles combining on-site collaboration with colleagues and remote flexibility.
• ‘On-site Flex’ - 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' - work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Pay

Commensurate with experience.

Schedule

Hybrid schedule combining on-site collaboration with colleagues and remote flexibility.