Senior Principal Engineer, Physical Design

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

Built on decades of expertise and execution, Marvell’s custom Processor/ASIC solution offers a differentiated approach with a best-in-class portfolio of data infrastructure intellectual property (IP) and a wide array of flexible business models. In this unique role, you’ll have the opportunity to work on both the physical design and methodology for future designs of our next-generation, high-performance processor chips in a leading-edge CMOS process technology, targeted at server, and networking applications.

What You Can Expect

As a senior leader in the central physical design team, you will:

• Shape the long-term vision for physical design capabilities and infrastructure in alignment with company-wide technology strategy

• Lead RTL-to-GDSII implementation for multiple SoC programs, overseeing synthesis, floorplanning, power grid design, place and route, clock tree synthesis, timing closure, power/signal integrity signoff, and physical verification (DRC/LVS)

• Provide strategic leadership and technical direction to physical design teams, ensuring successful and timely tapeouts of complex, high-performance SoCs

• Mentor and develop engineering talent, fostering a culture of innovation, collaboration, and continuous improvement

• Oversee team structure, hiring, performance management, and career development to build and retain a high-performing physical design organization

• Drive cross-functional collaboration with design teams to influence design decisions and ensure successful project execution

• Navigate and resolve cross-functional conflicts effectively, fostering alignment and maintaining momentum across diverse teams

• Drive the development and adoption of next-generation physical design methodologies, flows, and automation to improve productivity and design quality

What We're Looking For

• Bachelor’s degree in Computer Science, Electrical Engineering or related fields and 15+ years of related professional experience or Master’s degree in Computer Science, Electrical Engineering or related fields with 10-12 years of experience or PhD in Computer Science, Electrical Engineering or related fields with 8-10 years of experience or equivalent professional experience in lieu of a formal degree

• 15+ years of progressive experience in back-end physical design and verification, including significant leadership roles

• Proven track record of leading and scaling physical design teams, managing complex SoC projects, and delivering high-quality tapeouts under aggressive schedules

• Deep expertise in hierarchical physical design strategies, methodologies, and advanced process node challenges

• In-depth understanding of current design technologies used in major foundries

• Strong understanding of ASIC design flow, RTL integration, synthesis, and timing closure

• In-depth knowledge of modern EDA tools and flows

• Proficient in automation and scripting using Makefile, Tcl, Python, or Perl to enhance design efficiency and flow robustness

• Strong communication and collaboration skills, with the ability to influence cross-functional teams and executive stakeholders

• Experience in developing and deploying advanced physical design methodologies and flows

• Strong knowledge on static timing analysis (PrimeTime, Tempus), EM/IR-Drop/crosstalk analysis (PTSI, Voltus, Redhawk, PrimeRail), extraction (Quantus, StarRC), formal or physical verification (Formality, Verplex, Calibre, Hercules) a plus

• Familiarity with AI/ML-driven optimization in physical design tools is a plus

Expected Base Pay Range (USD)

177,820 - 266,400, $ per annum

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements 

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