16 часов назад
AI Engineering Architect – Agentic AI & Digital Engineering
186 200 - 273 067$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Architect – Agentic AI & Digital Engineering (Agentic AI/Semiconductor Manufacturing): Building AI solutions for EUV source development and actinic inspection engineering with an accent on tool health analytics, intelligent troubleshooting, digital-thread adoption, and engineering workflow automation. Focus on designing agentic workflows, integrating AI with MBSE/CAD/BOM systems, and establishing observability, evaluation, tracing, and safe production deployment for engineering AI systems.
Location: Milpitas, California, United States
Base pay: $186,200–$273,067 annually
Company
develops inspection tools, metrology systems, process solutions, and computational analytics for semiconductor and electronics manufacturing.
What you will do
- Own and prioritize the AI roadmap for EUV source development and digital engineering use cases.
- Build AI solutions for source health analytics, anomaly detection, predictive monitoring, and engineering telemetry analysis.
- Develop AI-assisted and agentic workflows for alarm auditing, root-cause analysis, procedure creation, and engineering task automation.
- Enable AI-assisted modeling, digital thread, MBSE, and knowledge-grounded engineering workflows.
- Support AI-assisted routing, CAD integration, model-to-BOM, and early BOM workflows.
- Define observability, evaluation, tracing, and safe production deployment practices for engineering AI systems.
Requirements
- Master’s degree or PhD in Computer Science, AI/ML, Data Science, Engineering, Physics, Systems Engineering, or a related field.
- Doctorate with 5 years, master’s degree with 8 years, or bachelor’s degree with 12 years of related work experience.
- Hands-on experience building and deploying AI/ML solutions for complex engineering or industrial workflows.
- Experience integrating AI with engineering data, software, or workflow systems, including sensor streams, logs, technical documents, or time-series datasets.
- Ability to translate ambiguous engineering problems into scalable AI architectures and deployable solutions.
Nice to have
- Experience with agentic AI, tool-using LLM workflows, multi-agent systems, or RAG/vector-backed knowledge systems.
- Experience with time-series forecasting, anomaly detection, or predictive analytics for industrial systems.
- Experience with MBSE, digital thread, SysML, requirements traceability, or model-centric engineering.
- Experience with CAD/PLM/PDM integration, BOM workflows, or engineering data interoperability.
- Experience in semiconductor equipment, optics, plasma, vacuum systems, capital equipment, or manufacturing engineering.
Culture & Benefits
- Full-time employment supporting advanced semiconductor inspection and manufacturing technologies.
- Medical, dental, vision, life, and other voluntary benefits.
- 401(k) with company matching and employee stock purchase program.
- Tuition reimbursement, student debt assistance, professional development, and career growth programs.
- Paid time off, company holidays, and family care and bonding leave.
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