About this role
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
The CCDS CAD team within Marvell Central Engineering Organization is seeking a qualified intern candidate to work in a team environment to develop AMS/Optics CAD automation processes to enhance development efficiency. In this position, the intern will learn the skills required for CAD automation developments in pre-silicon environments.
What You Can Expect
- Support the development, deployment, and maintenance of CAD methodologies, design flows, and automation tools for Analog/Mixed-Signal (AMS) and Photonics/Optics IC design.
- Develop Python, SKILL, TCL, and other scripting solutions to improve design productivity, automation, and flow integration.
- Assist in creating and maintaining PDK-related utilities, design environment setup, verification, and AI-Assisted design flows.
- Work closely with analog, and optics design engineers to understand design challenges and develop effective CAD solutions.
- Debug and resolve issues related to design environments, simulation setups, LVS, DRC, PEX, and reliability verification flows.
- Support APAC region (Singapore, Vietnam, India, Taiwan), inclusive of US timezone .
What We're Looking For
- Master’s degree in Computer Science, Electrical Engineering or related fields.
- Basic understanding of analog/mixed-signal IC design concepts, semiconductor devices, and IC design methodologies.
- Knowledge of silicon photonics design is an advantage.
- Good knowledge of Python scripting.
- User level Knowledge of the Unix operating system.
- Good level of English (spoken and written)
- Good analysis and problem-solving skills. Out-of-the-box thinking.
- Eager to learn AMS/Optics design domain concepts to understand the scope of the automation.



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.
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