PRD to PDK AI Solution Architect - Scalable Solutions

Essential Responsibilities:

Be a domain expert and a bridge between semiconductor domain engineers and AI solution developers.

Interface with teams responsible for PRD, TD, Device, Ground Rule, Testchip, Labs, PDK and Device Modelling to identify the opportunities, and architect the solution pipeline using GenAI/AI and digitization as a means for end to end PRD to PDK workflows.

Identify data sources, facilitate API access to databases and influence stakeholders for changing unstructured data capture and handling methods (PPT, DOC, PDF, XLS) to modern AI ready data formats.

Create or assemble testcases required for specific AI solution development.

Brainstorm UI ideas with stakeholders. Create UI mockups and requirement documents for the respective use case to be implemented by solution developers.

Be data savvy. Ensure data collection is part of the design to track usage and provide continuous AI improvements.

Track successful solution development and deployment by the developers. Address domain knowledge and data roadblocks.

Develop training material to increase solution adoption and collect feedback for continuous improvement.

Develop OKRs, track and deliver.

Other Responsibilities:

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Collaborate with cross functional teams (TD, Device, Testchip, Labs, PDK, Device Modelling, Central CAD and Methodology, and Eco-system partners).

Required Qualifications:

Education – 15 years experience with Masters degree or PhD in Electrical, Physics or Materials engineering or related field.

Experience in semiconductor process integration, device engineering.

Experience in PDK and design flow development.

Experience or certifications in AI/ML, GenAI, RAG and related concepts.

Led multi-disciplinary semiconductor projects and digitization efforts.

Ability to capture and present big transformational ideas involving complex multi-modal data.

Fluency in English Language – written & verbal.

Preferred Qualifications:

Certification in AI/ML/Reinforce Learning, pipelines, transformers.

Certification in database usage and architecture is preferred.

Ability to navigate ambiguity.

Ability to foster innovation through collaboration.

Ability to prioritize and project manage the time and resource.

Strong written and verbal communication skills.

Strong planning & organizational skills.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia