{"id":3058459,"url":"https://alion.io/job/apple-feaai-methods-engineer-2","title":"FEA/AI Methods Engineer","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":91,"open_postings":931,"ghost_share":0,"stale_share":0.15,"repost_share":0.002,"time_to_fill_p50_days":102,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cupertino, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":216000,"max_usd":419000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":477},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Abaqus","optional":true},{"name":"Claude Code","optional":true},{"name":"HPC","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"closed","first_seen_at":"2026-05-18T20:39:38Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T12:04:11Z","board_verified":false,"closed_at":"2026-10-23T12:04:11Z","days_open":157,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":157},"description":"Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through simulation. We truly believe in the power of predictive simulation to make the impossible possible, transform industries, and improve people’s lives. As a member of the Product Design FEA team, you will use your understanding of simulation workflows, software engineering, and emerging AI tools to play a pivotal role in predictive engineering and directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro, and many more future products. Come join us and put a dent in the universe!\nDescription\nAs a core member of the Product Design FEA Methods team, you will drive the automation and AI-powered transformation of the FEA workflow - from model setup through post-processing and reporting. You will design, build, and deploy automation tooling (ANSA, META, etc.) and AI agents that reduce manual effort, accelerate simulation turnaround, and improve consistency across product programs. Your work spans identifying repetitive or error-prone steps in the FEA pipeline, architecting scripted or agent-based solutions to address them, and integrating large language model (LLM) and machine learning (ML) capabilities into day-to-day FEA practice. You will partner closely with FEA engineers, infrastructure owners, and commercial software vendors to ensure new tools are robust, validated, and adopted across the organization. In doing so, you will help the Methods team serve as a bridge across product lines, sharing automation and AI capabilities that benefit the broader FEA community.\nMinimum Qualifications\nB.S./M.S. in Mechanical Engineering, Computer Science, Applied Mechanics, or a similar discipline, with 3+ years of relevant experience in engineering automation or software development.\nStrong knowledge of solid mechanics and finite element analysis (implicit and/or explicit FEA).\nDemonstrated software development experience in Python, including building and maintaining production-quality scripts, libraries, or tools.\nExperience automating engineering workflows (e.g., pre-/post-processing scripting, batch job orchestration, tool integration).\nAttention to detail and a commitment to verification/validation of automated tools and AI-generated outputs.\nFluency with professional software practices such as git-based workflows and code review.\nDesire to work in a fast-paced environment with a passion for building tools that accelerate cutting-edge product development.\nPreferred Qualifications\nHands-on experience developing or deploying AI agents or LLM-based tools (e.g., ClaudeCode, custom agent workflows, prompt-driven automation) in an engineering context.\nProficiency with FEA pre/post-processing tools (ANSA, META, Abaqus) and scripting their APIs.\nExperience integrating tools through standardized interfaces (e.g., MCP-style servers or equivalent) to expose pre/post-processors, solvers, and job schedulers to an agent.\nFamiliarity with HPC environments and running distributed or large-scale simulation jobs.\nExperience with system-level modeling and simulation.\nSelf-motivated to identify areas for improvement and drive innovation.\nExcellent cross-functional collaboration and written and verbal 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