FEA/AI Methods Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
4 days ago
Freshness
Confirmed live today

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Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $162,000–$235,487 — the blue band above. At the midpoint, this role pays about $214k versus about $199k for comparable roles.

Based on 240 similar postings.

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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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · FEA/AI Methods Engineer

JOB TITLE: FEA/AI Methods Engineer As a member of the Product Design FEA Methods team, you will drive the automation and AI-powered transformation of the finite element analysis workflow. You will design, build, and deploy automation tooling and AI agents to reduce manual effort, accelerate simulation turnaround, and improve consistency across product programs. Your daily work involves identifying repetitive steps in the FEA pipeline and architecting scripted or agent-based solutions to address them. You will integrate large language model and machine learning capabilities into engineering practices. Key technologies include Python, ANSA, META, and Abaqus, alongside git-based workflows and HPC environments. You will solve technical problems related to model setup, post-processing, and reporting for hardware products, ensuring that automated tools are robust, validated, and adopted across the broader FEA community.

What you'll do

  • Design, build, and deploy automation tooling for FEA workflows using ANSA and META.
  • Develop AI agents and LLM-based tools to reduce manual effort in simulation tasks.
  • Architect scripted solutions to automate repetitive or error-prone steps in the FEA pipeline.
  • Integrate machine learning capabilities into daily finite element analysis practices.
  • Build and maintain production-quality Python scripts, libraries, and engineering tools.
  • Validate and verify automated tools and AI-generated outputs for accuracy and reliability.
  • Integrate pre-processors, solvers, and job schedulers through standardized interfaces.
  • Manage batch job orchestration and distributed simulation jobs in HPC environments.

What we're looking for

  • B.S./M.S. in Mechanical Engineering, Computer Science, Applied Mechanics, or a similar discipline.
  • 3+ years of relevant experience in engineering automation or software development.
  • Strong knowledge of solid mechanics and finite element analysis (implicit and/or explicit FEA).
  • Demonstrated software development experience in Python, including building and maintaining production-quality scripts, libraries, or tools.
  • Experience automating engineering workflows such as pre-/post-processing scripting, batch job orchestration, and tool integration.
  • Fluency with professional software practices such as git-based workflows and code review.
  • Hands-on experience developing or deploying AI agents or LLM-based tools in an engineering context (preferred).
  • Proficiency with FEA pre/post-processing tools (ANSA, META, Abaqus) and scripting their APIs (preferred).

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