Staff CAD Flow and Methodology

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

Central CAD and Design Methodology group that enables process technology, design flows and support for all design teams in Marvell.

What You Can Expect

• External and internal IP release qualification and onboarding
• Foundation IP analysis, validation, and deployment
• Advanced technology cell and block level PPA
• Design kit generation automation including physical and timing
• Good to have: Synthesis and P&R Innovus tool knowledge

What We're Looking For

• BS in CS, EE or a related field with 3–5 years of experience, or an MS with 2–3 years.
• Working knowledge of advanced-node technology (FinFET, GAA nanosheet).
• Solid understanding of standard cell library design: circuit, layout, and view/kit generation (Liberty, LEF, GDS, netlist).
• Proficiency in Tcl and Python for flow development and automation.
• Strong analytical and problem-solving skills, with the ability to debug and propose practical solutions.
• Clear written and verbal communication, and a collaborative team player.

Preferred qualifications
- Experience with SPICE simulation and library characterization.
- Experience with place and route (P&R) flows.
- Experience applying AI/LLM tools and agentic workflows to hardware design, verification or CAD flow automation.

Expected Base Pay Range (CAD)

88,300 - 117,700, $ per annum This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.

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.

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. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement, and no hiring decisions are made solely on the basis of automated processing.

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