Eridu designs custom network switching silicon purpose-built for AI clusters. The tech stack reveals a fully integrated semiconductor workflow—SystemVerilog, Verilog, ASIC design tools (Synopsys, Innovus), and post-silicon validation frameworks—paired with SONiC and OCP SAI integration to run production workloads. Active projects span ASIC design, physical layout, chiplet platforms, and SDK development, while pain points cluster around communication bottlenecks in AI data centers and hardware verification velocity. The hiring mix is almost entirely senior/principal engineers (97% of headcount), indicating rapid execution on foundational silicon work rather than scaling operations.
Eridu is a semiconductor company building network switch silicon for AI data centers. Founded in 2024 and headquartered in Saratoga, California, the company addresses throughput and efficiency constraints in scale-out GPU clusters by designing custom networking ASICs. The engineering roadmap includes physical design of system-on-chip architectures, multi-die chiplet platforms, high-density substrate integration, and integration with open networking stacks (SONiC, OCP SAI). Engineering and validation work spans silicon design, post-silicon tuning, and SDK development. The company operates with U.S. and India-based engineering teams.
Eridu uses SystemVerilog, Verilog, and C++ for design; Synopsys Fusion Compiler and Innovus for physical design; SONiC and OCP SAI for networking software; PyTorch and TensorFlow for workload modeling; and UVM and Robot Framework for verification.
Eridu is developing networking ASIC silicon, physical chip design, chiplet platforms, substrate design, SONiC integration, and SDK tooling for AI data center switches. Current focus includes post-silicon validation and reducing hardware verification cycles.
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Eridu's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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