Cae Engineer

Apple Apple · Big Tech · San Jose, CA +1 · Hardware

This role focuses on developing and implementing AI/ML applications and workflows for engineering simulations to accelerate design iterations and improve model accuracy. The engineer will create simulation solutions, partner with vendors, and support internal tools across various simulation domains.

What you'd actually do

  1. Create simulation workflows to enable designers and simulation engineers to run simulations with speed, efficiency and precision.
  2. Partner with simulation tool vendors and internal development team to deploy and scale workflows on internal platforms.
  3. Apply AI and ML techniques to simulation workflows in order to enable early design explorations
  4. Provide methods and tools to easily convert and analyze model data and results.
  5. Support internal simulation tools across projects in various application areas such as structural, electrical, thermal and electromagnetic simulations including developing training and documentation
  6. Work together with cross functional team members to understand tool or workflow gaps and develop solutions to address them

Skills

Required

  • Master’s degree in Engineering or relevant field of study.
  • 6+ years of related work and relevant academic experience.
  • Good understanding of simulation workflow CAD > Simulation > Analysis
  • Experience with simulation tools such as Ansys, Abaqus, CST, Comsol etc
  • Expertise in AI/ML methodologies for system level engineering simulations
  • Experience with automation and workflow processes and scripting languages (e.g., Python, MATLAB)

Nice to have

  • PhD degree in Engineering or relevant field of study.
  • Deep understanding of electrical, mechanical and multi-physics simulations.
  • Knowledge of 3D modeling and finite element analysis (FEA) methods.
  • Experience of finite element/multi-physics tools in domains such as signal and power integrity, desense, RF, electro-magnetics, structural mechanics etc.
  • Experience in the use of AI/ML techniques (e.g. PINN) to improve and refine models.
  • Excellent communication, presentation, and organizational skills

What the JD emphasized

  • AI/ML applications to support rapid design iterations using simulation
  • Apply AI and ML techniques to simulation workflows
  • Expertise in AI/ML methodologies for system level engineering simulations
  • Experience in the use of AI/ML techniques (e.g. PINN) to improve and refine models

Other signals

  • AI/ML applications to support rapid design iterations using simulation
  • Apply AI and ML techniques to simulation workflows
  • Expertise in AI/ML methodologies for system level engineering simulations
  • Experience in the use of AI/ML techniques (e.g. PINN) to improve and refine models