DSP Intern - Data Center Engineering - Ph. D

Marvell Semiconductor, Inc.
paid holidays, sick time
United States, California, Santa Clara
5488 Marvell Lane (Show on map)
Feb 28, 2025
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 : Join Marvell's Data Center Engineering (DCE) Connectivity DSP Team, where we design and develop high-speed, low-power electrical and optical transceivers using PAM4 and advanced modulation schemes with FEC (Forward-Error-Correction). Our DSP solutions power AI, cloud, enterprise, and 5G infrastructure by enabling the high bandwidth interconnects essential for modern data centers. As an intern, you will have the opportunity to contribute to the system design and development of next-generation DSP architectures, while gaining hands-on experience in a leading technology group. What You Can Expect Gain in-depth understanding of transceiver systems, including equalization and clock-data-recovery (CDR) algorithms. Develop and refine algorithms or models for performance characterization. Prototype innovative ideas related to equalization, adaptation, and forward error correction (FEC). Implement and test new algorithms using C++, MATLAB, or Python in a simulator environment. What We're Looking For Minimum Requirements: Currently pursuing a Master's or PhD degree (PhD strongly preferred) in Computer Science, Electrical Engineering, or a related technical field. Completed graduate coursework in at least two of the following areas: Digital Signal Processing Digital Communications Information Theory Coding Theory Probability Theory Preferred Qualifications: Strong R&D experience in Probability Theory, Detection and Estimation Theory, Coding Theory, Digital Communications, or Digital Signal Processing. Excellent analytical and problem-solving skills. Effective verbal and written communication skills. Proficiency in C++, MATLAB, or Python. Experience with adaptive filters, equalization, forward error correction, and clock-data-recovery is a plus. If you are passionate about high-speed DSP design and want to contribute to cutting-edge solutions, we encourage you to apply and help drive the future of AI and cloud infrastructures. Expected Base Pay Range (USD) 29 - 57, $ per hour. The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. Additional Compensation and Benefit Elements For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage, perks and discount programs, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation may be available for intern PhD candidates. 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. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com. #LI-SC1