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

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OREGON EMPLOYMENT DEPARTMENT

Tualatin, OR (In Person)

Full-Time

Posted 2 weeks ago (Updated 2 weeks ago) • Actively hiring

Expires 5/28/2026

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Job Description

Job Listing ID:
4476061
Job Title:
Modeling Engineer 5 (Thermal, CFD, AI/ML)
Application Deadline:
07/17/2026
Job Location:
Tualatin
Date Posted:
04/19/2026
Hours Worked Per Week:
40
Shift:
Day Shift Duration of Job:
Full Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)
Job Summary:
The group you'll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering ofLam's etch and deposition products. We drive innovation to ensure our cutting-edge solutionsare helping to solve the biggest challenges in the semiconductor industry. The impact you'll make We move atoms that move the world. At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars-even medical devices) has been made using our equipment. As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations. To build a prosperous career, start with an atom. Should you choose to walk the path historically driven by Moore's law, your primary job function will involvecutting edge R& D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you. What you'll do 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. Who we're looking for 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. Ability to work with a team to drive product development and design decisions.... For full info follow application link.
Job Classification:
Mechanical Engineers Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation
Salary:
Depending on Experience Job Requirements
Experience Required:
 At least 6 years
Education Required:
Doctorate
Minimum Age:
N/A Gender:
N/A

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