AMS Layout Engineer Intern - BS - 2027 Co-Op

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

We are building next-generation 100G+ optical link solutions for data-centric computing, leveraging advanced silicon photonics integrated with cutting-edge CMOS electronics. We are looking for an Analog and Mixed Signal (AMS) Layout Design Intern to implement physical design for high-speed analog and mixed-signal circuits for our photonic transceivers and Electronic Integrated Circuits (EICs). As a Co-op student, you will work closely within our AMS team to develop the physical design skills needed to deliver scalable, low-power, high-performance EICs in leading edge technology processes for optical compute and interconnects.

What You Can Expect

• Design high-speed analog and mixed-signal layouts in advanced CMOS technology processes.
• Transistor level floor planning, routing, and verifying against design rules (DRC) and schematic connectivity (LVS).
• Work closely with Analog Circuit Design engineers to optimize layouts to meet performance requirements.
• Develop custom scripts to improve tools, flows, and methodologies used in the team’s design environment.

What We're Looking For

• Enrolled in a Bachelor’s degree program in Computer Engineering, Electrical Engineering, Engineering Science, or related fields.
• A solid foundation in CMOS digital electronics.
• A solid foundation in analog electronics is a plus.
• Python and Perl programming experience a plus.
• Excellent communications skills (written and oral).
• Proactive and willing to learn quickly.

Expected Base Pay Range (CAD)

34 - 45, $ per hour.




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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