RTL Engineer, Packet Processing

8 - 15 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As an RTL Packet Processing Engineer at Eridu AI India Private Limited, a subsidiary of Eridu Corporation, your role is crucial in defining and implementing industry-leading Networking IC. You will be responsible for designing and architecting solutions for high-speed networking devices, focusing on latency optimization, quality of service (QoS) support, CAMs, and routing tables. Your contribution to implementing designs on ASIC platforms, ensuring compliance with industry standards, and conducting thorough testing will drive the development of cutting-edge Networking devices. Key Responsibilities: - Analyze and optimize pipelining architectures to enhance performance metrics - Provide support for various networking protocols and standards related to input and output queues, including Ethernet - Troubleshoot and resolve complex issues related to packet queuing - Collaborate with cross-functional teams to investigate and address networking challenges effectively Qualifications Required: - Hold a ME/BE degree with a minimum of 8-15 years of experience - Possess working knowledge of system Verilog and Verilog - Demonstrate prior experience with ownership of memory subsystems - Expertise in designing and optimizing packet pipelining and QoS mechanisms - Familiarity with ASIC design methodologies, simulation, and verification tools - Experience with Ethernet/PCIe networking protocols - Strong analytical and problem-solving abilities, attention to detail in troubleshooting and debugging - Effective communication skills for collaborating efficiently in a team environment and presenting technical information to diverse audiences Joining Eridu AI will provide you with the opportunity to contribute to the future of AI infrastructure, working on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities. The starting base salary for this role will be determined based on your skills, experience, qualifications, work location, market trends, and compensation of employees in comparable roles.,

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