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Apple’s Display FEA team seeks a Senior FEA Engineer to lead structural, thermal, and dynamic analysis of flat panel display panels, modules, and system integration. You will own complex simulations and guide design optimization for reliability and performance.
The role emphasizes cross-functional collaboration, cutting-edge problem solving, and communication with management and vendors in a fast-paced environment.
The Apple Display FEA team is searching for a Senior FEA (Finite Element Analysis) Engineer to lead structural, thermal and dynamic analysis of flat panel display panel, module and system integration. Our team supports an exceptional line of products.
This FEA engineer will own and drive analysis of cutting edge designs, enabling early material, process and structural design optimization as well as root cause and failure analysis of difficult mechanical problems.
Bachelor's degree minimum in Mechanical Engineering, or Solid mechanics of materials or related degree and 10+ years of experience of advanced FEA simulation in industrial settings.Experience in domain of mechanics of materials and ability to comprehend complex physical mechanisms using 1st principles.Experience in FEA software Abaqus (Implicit & Explicit) or ANSYS.Experience of static, dynamic, and thermal-mechanical simulations to solve practical engineering problems in industrial settings.Experience in material constitutive models, including metals, brittles, plastics, and adhesives.
Advanced degree in related field with 3 years of industry experienceThe ideal candidate will have 5+ years of experience in advanced FEA analysis in high volume consumer electronic products and/or modules- direct experience with flat panel display is preferred.High proficiency in Abaqus (Implicit & Explicit) or ANSYS, and Altair Hyperworks.Structural and thermal focus; non-linear FEA experience is highly desirable. Applied knowledge/experience with flex circuits, ACF bonding, adhesives, flat panel display, material science, and basic chemistry.Demonstrated experience applying AI/ML techniques to physics-based simulations, such as surrogate modeling, reduced-order modeling (ROM), or data-driven material model calibration.Applied knowledge/experience with structural optimization based on FEA automation, scripting, and ML-driven optimization pipelines.Excellent written and verbal communication skills and people skills; ability to interact with management, team members, and external vendors.Proven ability to communicate well with cross-functional team members, collaborate efficiently to achieve project goals, and contribute positively to the engineering community.Must be able to multi-task and set priorities in a fast-paced working environment.