Senior Principal Engineer, RTL ASIC Design

Requirements

• 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.
• Additional Compensation and Benefit Elements
• 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.
• Interview Integrity
• To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
• These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. U

Additional Information

About Marvell Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact About Marvell Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Custom and Compute Solutions Business Unit closely collaborates with strategic customers in the development of advanced and highly complex SoCs, from architecture and design all the way through layout, packaging, prototype validation and production ramp up. What You Can Expect 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.

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