PRD to PDK AI Solution Architect - Scalable Solutions

Job Title

PRD to PDK AI Solution Architect - Scalable Solutions

Role Summary

Architect end-to-end AI and GenAI solutions to enable PRD-to-PDK semiconductor workflows. Serve as the domain liaison between semiconductor engineers and AI/solution developers, define solution pipelines, prioritize work, and drive stakeholder adoption and delivery.

Experience Level

Senior — approximately 15 years of relevant industry experience is expected.

Responsibilities

Lead technical design and delivery of AI-enabled workflows from requirements through deployment and adoption.

• Act as domain expert bridging semiconductor process/device engineers and AI solution developers.
• Engage PRD, TD, Device, Ground Rule, Testchip, Labs, PDK and Device Modelling teams to identify opportunities and architect solution pipelines.
• Identify required data sources, enable API access to databases, and drive improvements to make source materials AI-ready.
• Create or assemble test cases and datasets for solution development and validation.
• Design UI mockups and write requirements for solution developers.
• Ensure instrumentation and data collection to monitor usage and enable continuous improvement.
• Track development and deployment progress, resolve domain knowledge or data roadblocks, and report outcomes against OKRs.
• Develop training materials, drive solution adoption, and collect user feedback for iteration.
• Collaborate with cross-functional teams and ecosystem partners; follow Environmental, Health, Safety & Security requirements.

Requirements

Core technical and leadership requirements for the role.

• Extensive experience in semiconductor process integration and device engineering.
• Hands-on experience with PDK development and semiconductor design flows.
• Proven track record leading multi-disciplinary semiconductor projects and digitization initiatives.
• Ability to translate complex multi-modal technical data into transformational AI solutions and to present business and productivity impact to leadership.
• Data-savvy: able to specify data collection, validation, and usage tracking.
• Strong planning, prioritization, project management, and organizational skills.
• Effective written and verbal communication in English; ability to create training and adoption materials.
• Comfort navigating ambiguity and driving cross-team collaboration.

Education Requirements

Master's degree or PhD in Electrical Engineering, Physics, Materials Engineering, or a related technical field. The role expects ~15 years of industry experience. The posting also references certifications and experience in AI/ML/GenAI (including RAG), reinforcement learning/transformer pipelines, and database architecture; these certifications are listed as preferred.

About the Company

Company: GlobalFoundries

Headquarters: Saratoga Springs, New York, USA

GlobalFoundries is a leading contract manufacturer for the global semiconductor industry, with facilities in multiple countries, including the USA. The company develops a broad portfolio of semiconductor technologies and employs around 13,000 people worldwide. GlobalFoundries focuses on enhancing competitiveness in specialized application solutions and fostering innovation in mobile communications, consumer electronics, and automotive applications.