Senior Principal Engineer, RTL ASIC Design

Methodology Development Design and implement robust workflows for design, verification, and automation. Establish best practices, standards, and documentation for methodology adoption. Continuously evaluate and refine methodologies to improve efficiency and scalability. AI Integration Apply machine learning and AI techniques to optimize design flows, resource allocation, and problem solving. Develop predictive models and intelligent tools to assist engineers in decision making. Collaborate with cross functional teams to identify opportunities for AI driven improvements. Tool & Infrastructure Management Work with CAD/EDA teams to integrate methodologies into existing toolchains. Automate repetitive tasks using scripting languages (Python, Perl, TCL, Shell). Ensure compatibility and interoperability across tools and platforms. Collaboration & Support Partner with design, verification, and CAD teams to deploy methodologies effectively. Provide training and support to engineers on new workflows and AI tools. Act as a liaison with vendors and research partners for tool evaluation and innovation. Innovation & Research Stay updated on emerging AI/ML techniques and industry trends. Propose and prototype new approaches to enhance design productivity. Contribute to long term strategy for AI adoption in engineering methodologies. What We're Looking For Bachelor s or Master s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. 18+ years of experience in design automation, methodology development, or AI/ML applications in engineering. Strong programming and scripting skills (Python, TCL, Shell, C++). Hands on experience with EDA tools and design flows (front end and back end). Solid understanding of machine learning concepts and practical applications. Excellent problem solving, communication, and collaboration skills. Preferred Skills Experience with deep learning frameworks (TensorFlow, PyTorch). Knowledge of semiconductor design processes (RTL to GDSII, verification, DFM). Familiarity with cloud computing and distributed systems. Exposure to data analytics and visualization tools. Strong programming and scripting skills (Python, TCL, Shell, C++). Hands on experience with EDA tools and design flows (front end and back end). Solid understanding of machine learning concepts and practical applications. Excellent problem solving, communication, and collaboration skills. Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it s like to work at Marvell, visit our Careers page. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.