FEA/AI Methods Engineer
Apple
Software Engineering, Data Science
San Francisco, CA, USA · Oregon, USA · San Francisco Bay Area, CA, USA · Multiple locations
USD 147,400-272,100 / year + Equity
Posted on May 19, 2026
Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through simulation. We truly believe in the power of predictive simulation to make the impossible possible, transform industries, and improve people’s lives. As a member of the Product Design FEA team, you will use your understanding of mechanics, materials, and numerical methods to play a pivotal role in predictive engineering and directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro, and many more future products. Come join us and put a dent in the universe!
As a core member of the product design team, you will contribute to envisioning the future of the FEA workflow and collaborate with cross-functional teams and vendors to develop the necessary tools to achieve it. Your responsibilities will encompass exploring the latest Large Language Models (LLMs) and Machine Learning (ML) tools, identifying optimal integration strategies within the FEA workflow, and designing experiments to characterize materials, advance constitutive models, and validate them across various levels of complexity. Additionally, you will conduct predictive finite element simulations to inform product design decisions. Your integration with the product design team will extend from the initial stages of product development to the engineering of groundbreaking products.
- Strong knowledge of solid mechanics.
- Experience in implicit and explicit finite element analysis (FEA).
- Attention to detail and commitment to verification/validation.
- Desire to work in a fast-paced environment with a passion for creating cutting-edge products.
- M.S. in Mechanical Engineering, Applied Mechanics, Structural Engineering, or a similar discipline required along with 3+ years of relevant experience.
- Expertise in the mechanical behavior of materials and constitutive modeling.
- Proficiency in Python and relevant packages for ML.
- Experience with Abaqus, ANSYS, and META.
- Experience with system-level modeling and simulation.
- Self-motivated to identify areas for improvement and drive innovation.
- Excellent cross-functional collaboration and written and verbal communication.
- Ph.D. in Mechanical Engineering, Applied Mechanics, Structural Engineering, or a similar discipline.