Apple"s Battery Engineering team is seeking an experienced FEA Engineer to play a critical role in the design, qualification, and manufacturing of battery systems that power Apple"s portable electronic devices. In this position, your models and simulations will directly inform design decisions for nearly every battery Apple ships, impacting reliability, safety, manufacturing processes, and performance across the product portfolio.
In this role, your work will directly influence the design and performance of battery systems in products used by hundreds of millions of people worldwide. You will be at the center of Apple"s battery innovation engine, enabling faster development cycles, improved product safety and reliability, and breakthrough performance.
Develop high-fidelity finite element analyses to predict battery performance prior to physical prototyping\\nDeliver simulation insights that directly shape design decisions and qualification outcomes for shipping products\\nValidate model predictions against experimental data and iterate to improve model accuracy and reliability\\nDevelop and implement advanced structural, mechanical, thermal, and electrochemical models at the forefront of battery simulation technology\\nCapture intricate design details, cell chemistry behavior, and load cases spanning multiple length and time scales\\nBuild coupled multi-physics models that accurately represent the complex interactions within battery systems\\nDesign and deploy automated, end-to-end workflows from geometry creation through validated results\\nLeverage agentic automation, surrogate modeling, reduced-order modeling, parameterized design of experiments (DOE), and job automation for rapid design exploration, calibration, and optimization\\nScale simulation capabilities to support multiple concurrent product programs\\nExperimental Validation and Material Characterization\\nDesign novel, non-standard test methods to calibrate material models and validate simulation predictions\\nDefine instrumentation and measurement strategies that provide high-quality data for model validation
MS degree in Mechanical Engineering, Computational Mechanics, Applied Mechanics, Materials Science, Applied Physics, or similar\\nExperience with commercial finite element analysis software such as Abaqus\\nExperience with advanced simulation techniques such as nonlinear constitutive modeling and modeling of high speed events and large deformations\\nExperience programming in Python\\nExperience building, debugging, and calibrating finite element models
PhD and 10+ years relevant industry experience\\nExperience with coupled thermal-mechanical or electrochemical-mechanical modeling\\nExperience with LS-DYNA, ANSYS, or COMSOL \\nExposure to physics-based machine learning methods for surrogate modeling or model order reduction\\nCustom solver development or user-defined material model implementation experience\\nIndustry experience in battery mechanics, electrochemistry, or energy storage systems\\nExperience validating complex models against experimental data\\nExperience designing and executing physical tests for material characterization or model validation\\nFamiliarity with high-performance computing (HPC) environments and version-controlled software development workflows
