Eridu AI
Packet Processor Architect
Saratoga, CA
Sponsorship not specifiedDetected 23 days ago
Supply ChainTCP/IPCommunicationProblem Solving
About the role
- Today's AI performance is frequently limited by communication bottlenecks.
- We do this while simultaneously reducing capital and power costs and improving reliability.
- The company's solutions and value proposition have been widely validated by leading hyperscalers.
Responsibilities
- About Eridu Eridu is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate AI data centers to deliver Faster AI.
- Eridu introduces multiple industry-first innovations across silicon, packaging, software, and systems to deliver an order of magnitude improvement in performance and unlock greater GPU utilization to speed training job completion times and tokens-per-second for more profitable inference.
- Eridu is working with best-in-class supply chain partners including silicon, packaging and systems.
- Position Overview We are looking for a highly experienced Packet Processor Architect to lead the definition and implementation of Eridu's industry leading Networking ASIC.
- Collaborate with the chip and system microarchitects to align the packet processor architecture with system-level goals for throughput, latency, programmability, and power efficiency.
- Lead modeling and feasibility analysis of packet flow behavior across L2/L3/L4 layers to validate architectural choices, including throughput, latency, power and area efficiencies.
- Drive architectural decisions involving classification, table and lookup optimizations, resource allocation and scalability.
- Participate in design reviews, performance modeling, Test and Verification strategies and architectural trade-off analysis.
- Provide support for various networking protocols and standards related to packet processing Contribute to post-silicon validation and tuning of packet flows for performance and correctness.
- Define architecture-level development methodologies and influence cross-functional design best practices.
Requirements
- Qualifications MSEE or equivalent with 15+ years of experience in networking or data-path ASIC architecture and design.
Benefits
- INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world's leading micro-LED company).
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This listing is sourced directly from Eridu AI's careers page and normalized into a canonical job model.