Marvell is looking to solve the problem of enabling high bandwidth interconnects essential for modern data centers by designing and developing high-speed, low-power electrical and optical transceivers using PAM4 and advanced modulation schemes with FEC (Forward-Error-Correction).
Requirements
- Completed graduate coursework in at least two of the following areas: Digital Signal Processing, Digital Communications, Information Theory, Coding Theory, Probability Theory
- Strong R&D experience in Probability Theory, Detection and Estimation Theory, Coding Theory, Digital Communications, or Digital Signal Processing
- Proficiency in C++, MATLAB, or Python
- Experience with adaptive filters, equalization, forward error correction, and clock-data-recovery is a plus
Responsibilities
- 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.
Other
- Currently pursuing a Master’s or PhD degree (PhD strongly preferred) in Computer Science, Electrical Engineering, or a related technical field
- Excellent analytical and problem-solving skills
- Effective verbal and written communication skills
- Must be eligible to access export-controlled information as defined under applicable law
