AI enabled PDK Development Engineer at Globalfoundries in New York, NY

Job description

About GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com. Summary of Role GlobalFoundries is seeking an AI-Enabled PDK Development Engineer with strong artificial intelligence and software-engineering skills to develop, implement, test, and support AI-guided physical-verification, extraction, manufacturability, and design-documentation solutions. The engineer will work closely with technical experts in PDK development who will provide domain expertise across LVS, DRC, PEX, OPC, and Design Manual development. The role will apply Python, machine learning, large language models, code generation, natural-language processing, and software-development practices to improve efficiency and quality for advanced CMOS, cryogenic, quantum, photonic, and heterogeneous-integration technologies. Semiconductor or prior PDK experience is beneficial but not required. Essential Responsibilities Develop, implement, test, maintain, and support PDK code and rule content for layout-versus-schematic (LVS), design-rule checking (DRC), parasitic extraction (PEX), optical proximity correction (OPC), and associated Design Manual requirements. Apply AI-guided methods to generate, translate, review, debug, optimize, and regression-test rule-deck code under established expert review, traceability, and release controls. Implement, test, and support automated pipelines that convert approved process and design requirements into structured rules, test cases, documentation, and quality evidence. Contribute to the development and maintenance of representative positive and negative test layouts, golden reference results, coverage metrics, and regression suites for physical-verification and extraction deliverables. Use machine learning, natural-language processing, code-generation techniques, and data analytics to identify rule gaps, inconsistencies, duplicate content, likely failure modes, and opportunities for development acceleration. Analyze and correlate PEX and OPC outputs with silicon, process, metrology, electromagnetic, and simulation data as applicable, and contribute improvements to model and rule fidelity across relevant operating conditions. Implement, test, document, and support deliverables within commercial EDA environments and PDK release flows, using version control, continuous integration, issue tracking, change management, and release documentation. Collaborate with process integration, device, modeling, mask, lithography, design enablement, PDK, EDA, and circuit-design teams to translate technology requirements into accurate, maintainable, and customer-usable design collateral. Other Responsibilities Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs. Work and collaborate on other projects and/or assignments as needed. Required Qualifications Education - Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Microelectronics, Physics, Applied Mathematics, or a related field. Experience - Relevant experience in artificial intelligence, machine learning, software engineering, data science, automation, or a closely related field. Approximately 2+ years of relevant experience for Level 5 and 3-5+ years for Level 6 are preferred; final experience requirements and leveling will be aligned with GF scoping guidelines. Relevant academic research, internships, co-ops, and substantial project experience may be considered. Strong Python programming and software-engineering skills, including development of maintainable code, au