Principal Engineer

As Principal AI Engineer , you will shape the future way of working within our R&D organization through the strategic adoption of Artificial Intelligence. In this newly created role, you will define the vision, strategy, and roadmap for integrating AI into the product development process and drive the development of new AI-enabled ways of working. You will identify opportunities to improve engineering efficiency, knowledge utilization, innovation speed, and scalability across the entire R&D lifecycle. As a thought leader for AI-driven engineering productivity, you will operate at the intersection of semiconductor development, software engineering, data analytics, and Generative AI. Leveraging your deep understanding of R&D processes, you will connect emerging AI capabilities with business needs and translate technological innovation into sustainable business value. Key Responsibilities AI-Driven Transformation of R&D Processes Define and continuously evolve the strategy for leveraging AI within R&D. Identify challenges, productivity bottlenecks, and scaling requirements across the product development lifecycle, and derive appropriate transformation initiatives. Design and implement future AI-enabled ways of working for the R&D organization. Develop a multi-year roadmap to enhance engineering excellence, knowledge management, and innovation capabilities. Build sustainable AI transformation capabilities within the R&D organization. Monitor relevant technology trends and assess their potential impact on semiconductor development and engineering processes. Initiate, evaluate, and scale pilot projects to unlock new AI use cases across R&D. Cross-Functional Leadership Advise senior management and R&D leadership on AI-related opportunities, risks, and priorities. Lead complex transformation initiatives without direct people management responsibility. Establish an organization-wide network of AI champions, technical experts, and innovation leaders. Foster a data-driven cult