Battery FEA Engineer
Summary
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.
Description
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.
Responsibilities
- Develop high-fidelity finite element analyses to predict battery performance prior to physical prototyping
- Deliver simulation insights that directly shape design decisions and qualification outcomes for shipping products
- Validate model predictions against experimental data and iterate to improve model accuracy and reliability
- Develop and implement advanced structural, mechanical, thermal, and electrochemical models at the forefront of battery simulation technology
- Capture intricate design details, cell chemistry behavior, and load cases spanning multiple length and time scales
- Build coupled multi-physics models that accurately represent the complex interactions within battery systems
- Design and deploy automated, end-to-end workflows from geometry creation through validated results
- Leverage agentic automation, surrogate modeling, reduced-order modeling, parameterized design of experiments (DOE), and job automation for rapid design exploration, calibration, and optimization
- Scale simulation capabilities to support multiple concurrent product programs
- Experimental Validation and Material Characterization
- Design novel, non-standard test methods to calibrate material models and validate simulation predictions
- Define instrumentation and measurement strategies that provide high-quality data for model validation
Minimum Qualifications
- MS degree in Mechanical Engineering, Computational Mechanics, Applied Mechanics, Materials Science, Applied Physics, or similar
- Experience with commercial finite element analysis software such as Abaqus
- Experience with advanced simulation techniques such as nonlinear constitutive modeling and modeling of high speed events and large deformations
- Experience programming in Python
- Experience building, debugging, and calibrating finite element models
Preferred Qualifications
- PhD and 10+ years relevant industry experience
- Experience with coupled thermal-mechanical or electrochemical-mechanical modeling
- Experience with LS-DYNA, ANSYS, or COMSOL
- Exposure to physics-based machine learning methods for surrogate modeling or model order reduction
- Custom solver development or user-defined material model implementation experience
- Industry experience in battery mechanics, electrochemistry, or energy storage systems
- Experience validating complex models against experimental data
- Experience designing and executing physical tests for material characterization or model validation
- Familiarity with high-performance computing (HPC) environments and version-controlled software development workflows