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.
This is an existing vacancy.
Your Team, Your Impact
As a Digital IC Design, Principal Engineer at Marvell, you will be part of the Central Engineering organization—the core hub of innovation that supports all business units across the company. If Marvell were a wheel, Central Engineering would be the central hub, delivering foundational IP leveraged by teams spanning Automotive, Storage, Security, and Networking.
You will join a small, high-impact digital design team where your contributions directly influence multiple product lines and strategic initiatives. The team is composed of some of the industry’s strongest problem solvers, tackling complex silicon challenges that shape Marvell’s technology roadmap.
In addition to supporting internal business units, this team collaborates with leading semiconductor companies and major global technology firms—organizations that are widely recognized and respected across the industry.
What You Can Expect
As a Principal Design Engineer, you will lead the development and deployment of design flows and methodologies that bridge front-end design and back-end physical implementation. You will work cross-functionally with Architecture, RTL Design, Physical Design, Timing, and DFT teams to drive seamless integration throughout the SoC development lifecycle.
In this role, you will establish and drive EDA methodologies for front-end design, enabling early visibility into back-end physical design challenges while ensuring that design intent is accurately reflected through robust constraints and implementation strategies.