Battery FEA Engineer: Drive Safe, High-Performance Cells

Socket.dev

Cupertino (CA)

On-site

USD 180,000 - 250,000

Full time

4 days ago
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Job summary

Apple is seeking an experienced FEA Engineer to influence the design, qualification, and manufacturing of battery systems powering its devices. You will build and validate models that drive reliability, safety, and performance while supporting rapid development cycles.

Responsibilities include nonlinear constitutive modeling, high-speed event analysis, and coupled multiphysics simulations. Collaboration with hardware, test, and software teams is essential for model validation and optimization.

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.

Responsibilities

  • Develop and validate finite element models for battery systems used in Apple devices.
  • Perform simulations to inform design decisions for reliability, safety, and performance.
  • Work with cross-functional teams to integrate FEA results into product development.
  • Validate models against experimental data and coordinate physical tests for material characterization.

Skills

Python
High-performance computing

Education

MS in Mechanical Engineering or related

Tools

Abaqus
LS-DYNA
ANSYS
COMSOL

Job description

Apple is seeking an experienced FEA Engineer to influence the design, qualification, and manufacturing of battery systems powering its devices. You will build and validate models that drive reliability, safety, and performance while supporting rapid development cycles.

Responsibilities include nonlinear constitutive modeling, high-speed event analysis, and coupled multiphysics simulations. Collaboration with hardware, test, and software teams is essential for model validation and optimization.

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