Lam Research · 22 hours ago
Modeling Engineer 5 (Thermal, CFD, AI/ML)
Tualatin, OR
Full-time
Hybrid
Senior Level
6+ years expLam Research is dedicated to excellence in the design and engineering of etch and deposition products for the semiconductor industry. The Modeling Engineer will focus on developing physics-based models for Thermal/CFD/Chemistry applications, utilizing advanced modeling techniques and collaborating with interdisciplinary teams to drive product development.
CleanTechManufacturingSemiconductor
Responsibilities
Developing physics-based models for Thermal/CFD/Chemistry applications for components in semiconductor capital equipment industry
Strong ability in closed-form solutions and analytical methods development and understanding fundamentals in fluid mechanics
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 presentation 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
Put your running shoes on: In this job you’ll work in a highly dynamic and rapidly changing environment within a team of interdisciplinary experts driving to solutions to the most challenging business needs
Qualification
Required
PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid Dynamics, Heat transfer, Chemistry, or related fields with >6 years of experience in a related industry, e.g., semiconductor, gas turbine, aerospace, automotive, etc
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
Strong ability in closed-form solutions and analytical methods development and understanding fundamentals in fluid mechanics
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 presentation 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
Put your running shoes on: In this job you'll work in a highly dynamic and rapidly changing environment within a team of interdisciplinary experts driving to solutions to the most challenging business needs
Ability to work with a team to drive product development and design decisions. Propose design concepts and own decisions
Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software
Building and maintaining codes of AI/ML models with either simulation or test data
Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning
Coding ability to supplement commercial software for specific applications as needs arise
Knowledge of chemistry, semiconductor metrology methods, and hardware designs in a vacuum environment is also a plus
General understanding of uncertainty quantification, Bayesian optimization and probabilistic machine learning is required
Preferred
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
Benefits
Comprehensive set of outstanding benefits
Company
Lam Research
Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry.
10001+ employees
H1B Sponsorship
Lam Research has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (242)
2024 (239)
2023 (170)
2022 (216)
2021 (242)
2020 (182)
Funding
Current Stage
Public CompanyTotal Funding
unknown1984-05-11IPO
Leadership Team
Tim Archer
President and CEO
Rick Gottscho
Exec VP and CTO
Recent News
Benzinga.com
2026-01-16
2026-01-16
Morningstar.com
2026-01-09
Company data provided by crunchbase