Modeling Engineer 5 (Thermal, CFD, AI/ML) jobs in United States
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Lam Research · 15 hours ago

Modeling Engineer 5 (Thermal, CFD, AI/ML)

Lam Research is a leader in the semiconductor equipment industry, dedicated to innovation in etch and deposition products. The Modeling Engineer 5 will engage in cutting-edge R&D activities, focusing on developing physics-based models for Thermal/CFD/Chemistry applications, collaborating with engineers across various disciplines to drive design improvements and solutions.

CleanTechManufacturingSemiconductor
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Comp. & Benefits
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H1B Sponsor Likelynote

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

Computational Fluid DynamicsAI/ML modelingThermal modelingStatistical methodsMulti-scale modelingMachine learning algorithmsAnalytical skillsCommunicationCritical thinking

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
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
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
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
Knowledge of chemistry, semiconductor metrology methods, and hardware designs in a vacuum environment is also a plus

Benefits

Comprehensive set of outstanding benefits

Company

Lam Research

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Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry.

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 Company
Total Funding
unknown
1984-05-11IPO

Leadership Team

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Tim Archer
President and CEO
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Rick Gottscho
Exec VP and CTO
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Company data provided by crunchbase