FEA/AI Methods Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$150,400–$277,600 / yr
Posted
115 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $214k
$118k most similar roles pay here $295k

This role pays more than 73% of similar roles. Most pay $146,150–$218,075 — the shaded band above. At the midpoint, this role pays about $214k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · FEA/AI Methods Engineer

As a member of the Product Design FEA team, the FEA/AI Methods Engineer will play a pivotal role in predictive engineering by utilizing knowledge of mechanics, materials, and numerical methods to influence the design of products like iPhone, iPad, Mac, Apple Watch, and Vision Pro. The role involves envisioning future workflows, collaborating with cross-functional teams and vendors to develop tools, and conducting predictive finite element simulations to inform design decisions. Key responsibilities include exploring Large Language Models and Machine Learning tools, identifying integration strategies within the FEA workflow, and designing experiments to characterize materials and advance constitutive models. Required skills include expertise in solid mechanics, implicit and explicit finite element analysis, Python, and relevant packages for machine learning. Preferred technical experience includes Abaqus, ANSA, META, and system-level modeling and simulation.

What you'll do

  • Conduct predictive finite element simulations to inform product design decisions.
  • Explore Large Language Models (LLMs) and Machine Learning tools for integration into FEA workflows.
  • Design experiments to characterize materials and advance constitutive models.
  • Validate material models across various levels of complexity.
  • Develop new tools and processes to improve the future of the FEA workflow.
  • Perform implicit and explicit finite element analysis on hardware products.
  • Use Python and relevant packages to implement machine learning solutions.

What we're looking for

  • Master's degree in Mechanical Engineering, Applied Mechanics, Structural Engineering, or a similar discipline.
  • 3+ years of relevant experience in the field.
  • Strong knowledge of solid mechanics.
  • Experience in both implicit and explicit finite element analysis (FEA).
  • Expertise in the mechanical behavior of materials and constitutive modeling.
  • Proficiency in Python and relevant packages for machine learning.
  • Experience with Abaqus, ANSA, and META software.
  • Experience with system-level modeling and simulation.

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