Analog Engineer Intern - PhD

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 an Analog IC Design Intern with Marvell, you’ll be a member of the Central Engineering business group. If you picture Marvell as a wheel, Central Engineering is the center hub providing IP to be used by all the other spokes on that wheel, including Automotive, Storage, Security, and Networking. You’ll be part of a small analog team making a big impact on this organization. Additionally, Marvell has the perfect size and scale for you to learn several aspects of engineering that will be new to you, but also have the time and freedom to dive deep into the details of your specialization on most projects. What You Can Expect Understand the requirements of the product and how your block fits into it. Take ownership of a block to be delivered into one of Marvell’s DSP transceivers. Evaluate tradeoffs between different circuit topologies Perform schematic capture and layout in Cadence, Virtuoso design environment. Run schematic level and post layout simulations to quantify and optimize circuit performance Document design and hold a design review with the design team. Design, Simulate and support analog IP verification What We're Looking For Candidate MUST be currently pursuing a PhD degree OR MS Degree in EE or related technical field(s) Strong fundamental circuit design knowledge Detailed transistor level design Device physics Feedback and loop stability analysis Strong communication, presentation, and documentation skills. Expected Base Pay Range (CAD) 36 - 48, $ 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. #LI-SC1