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 and heat transfer.
- Utilizing DOE, Optimization, and statistical methods and data driven modeling to correlate Simulation data to experimental data.
- 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.
- Solid 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
- - Minimum Master’s degree in Mechanical/Chemical Engineering with 10+ years of experience ; or a PhD with 5+ years experience; or equivalent experience in Computational Fluid Dynamics, Heat transfer, or related fields 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. 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