DSP Architecture 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, automotive, 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

Marvell CE DSP Team develops and designs a variety of low power and high-speed Serializer-Deserializer (SerDes) IP in advanced CMOS technologies used in many products for the hyperscale cloud data center applications. You will join a team of expert DSP mixed-signal engineers developing 200G+ serial interfaces employing higher-order PAM modulations for electrical and optical channels. The candidate will also have an opportunity to experience work in industry, broaden the knowledge of key aspects of serial communication links.

What You Can Expect

• Understanding the SerDes systems, clock and data recovery, adaptation algorithms
• Designing and Developing model and/or algorithms for the performance characterization
• Optimize and fine-tune machine learning models for improved accuracy, scalability, and efficiency
• Implementing devised ideas on a simulator environment or a post-silicon platform (C/C++, Matlab or Python)
• Stay updated with the latest developments in machine learning, data science, and related fields, and propose innovative solutions to improve our machine learning capabilities.

What We're Looking For

Minimum Qualifications:

• Candidate MUST be currently pursuing a MS or PhD degree (PhD preferred) in CS/EE or related technical field(s)
• Previous experience in industry is not required

Preferred Qualifications:

• Excellent Research and Development experience in Probability Theory, Detection and Estimation, Digital Communications, Digital Signal Processing
• Strong analytical skills; Strong problem-solving skills
• Very good verbal and written communication skills
• Strong Programming skills in C/C++, MATLAB, or Python
• Knowledge of a SerDes system is a big plus 
• Knowledge of reinforcement learning, and supervised learning is a plus
• Experience in adaptive filters, equalization and clock recovery is a plus

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.

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