Network Platform Development Engineer (PHY, Switch, SAI, NOS/SDK, L1/L2 Development, C, Linux Kernel, MACsec, SerDes)

Overview

Develop next-generation switching and PHY-based networking solutions for enterprise and cloud-scale environments as an individual contributor, working on control and data plane functionality, SONiC/SAI and open-source networking.

What you'll do

• Implement and optimize control plane and data plane functionality for switch and PHY platforms.
• Enhance Layer 2/3 networking capabilities.
• Design and optimize high-performance switching fabrics with advanced packet processing, QoS, congestion control, and telemetry.
• Build and integrate features such as MACsec, retimer, SyncE, and PTP mechanisms.
• Contribute to open-source initiatives (e.g., SONiC, SAI, OVS, Linux kernel) and help define future networking standards.
• Collaborate with hardware teams to bring up new Switch and PHY SoC platforms and ensure hardware-software integration.
• Participate in code reviews, design discussions, and continuous integration processes.

What you'll need

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field with 8–18 years of experience, OR Master's degree with 6–16 years of relevant experience.
• Proficiency in C, C++, Python, and Lua scripting.
• Deep understanding of PHY programming, Ethernet switching, Layer 2/3 protocols, and networking standards.
• Experience with MACsec or other equivalent network protocols.
• Strong hands-on experience with SONiC, SAI, Linux, and OVS.
• Familiarity with ARM multicore SoC architecture and high-speed packet I/O.
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills, especially in distributed team environments.
• Proven ability to independently plan, execute, and deliver complex technical projects.
• A passion for continuous learning and thriving in fast-paced, innovation-driven settings.

Details

• Eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers.
• Role may require access to export-controlled technology under U.S. EAR; applicants may be subject to an export license review prior to employment unless U.S. citizen, lawful permanent resident, or protected individual.
• Candidates may not use AI tools during interviews; use without prior instruction will result in disqualification.