RTL Engineer, Packet Processing

As a RTL Packet Processing Engineer at Eridu AI India Private Limited, a subsidiary of Eridu Corporation, you will be instrumental in shaping and executing cutting-edge Networking IC solutions. Your primary tasks will include: - Designing and architecting solutions for high-speed networking devices with a focus on latency optimization, QoS support, CAMs, and routing tables. - Implementing designs on ASIC platforms, ensuring adherence to industry standards and performance benchmarks, and conducting comprehensive testing and validation. Your responsibilities will also involve: - Analyzing and optimizing pipelining architectures to enhance performance metrics. - Providing support for various networking protocols and standards related to input and output queues, such as Ethernet. - Troubleshooting and resolving complex issues related to packet queuing effectively. Collaboration with cross-functional teams, comprising hardware engineers, firmware developers, and system architects, will be pivotal in addressing networking challenges proficiently. To qualify for this role, you should: - Hold a ME/BE degree with a minimum of 8-15 years of experience. - Possess working knowledge of system Verilog and Verilog, as well as demonstrate prior experience in owning memory subsystems. - Showcase expertise in designing and optimizing packet pipelining and QoS mechanisms, familiarity with ASIC design methodologies, simulation, and verification tools, as well as experience with Ethernet/PCIe networking protocols. Moreover, you should exhibit: - Strong analytical and problem-solving abilities. - Attention to detail in troubleshooting and debugging. - Effective communication skills for efficient collaboration within a team environment and presenting technical information to diverse audiences. Joining Eridu AI will expose you to the forefront of AI infrastructure, where you will work alongside a world-class team on groundbreaking technology that redefines AI performance. Your contributions will directly shape the future of AI networking solutions, revolutionizing data center capabilities. The starting base salary for this position will be determined based on your skills, experience, qualifications, work location, market trends, and compensation of employees in comparable roles.,