ASIC Architect

About Eridu AI

Eridu AI is a Silicon Valley hardware startup focused on accelerating training and inference performance for large AI models. Today's AI model performance is often gated by infrastructure bottlenecks. Eridu AI introduces multiple industry-first innovations across semiconductors, software and systems to deliver solutions that improves AI data center performance to increase GPU utilization while simultaneously reducing capex and power. Eridu AI's solution and value proposition have been widely validated with several hyperscalers.

The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the-art semiconductors, optics, software, and systems, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (World's leading micro-LED display company and developer of the first augmented reality contact lens).

Position Overview

We are looking for a highly experienced ASIC Architect to contribute to the definition and implementation of Eridu's industry leading networking products. This is a unique opportunity to help shape the future of AI Networking.

Responsibilities

Work closely with the CTO to translate high-level system requirements and customer use cases into detailed architecture and functional specifications.

Collaborate with chip and system microarchitects to align ASIC architecture with system-level goals for throughput, latency, and power efficiency.

Guide modeling and feasibility analysis of packet flow behavior through the switch datapath to validate architectural choices, including throughput, latency, power and area efficiencies.

Work closely with RTL, Verification, Physical Design and Firmware teams to ensure seamless design implementation and handoff.

Guide integration of internal and external IPs (e.g. MAC, PCIe, SerDes) into the broader architecture. Drive interface requirements.

Participate in design reviews, performance modeling, test and verification strategies and architectural trade-off analysis.

Contribute to post-silicon validation for performance and correctness. Investigate and resolve complex issues related to ASIC data path, working closely with cross-functional teams including hardware engineers, firmware developers, and system architects. Qualifications

MSEE with 10+ years of experience, preferably in networking ASIC architecture and design.

Candidates with experience in related areas of computer and parallel processing architectures - in particular, complex memory crossbars, buffering schemes, scheduling algorithms and high-speed datapaths - are also highly desired.

A deep understanding of networking protocols (Ethernet, TCP/IP, UDP, VLAN, MPLS, RoCE, etc.) and their hardware implications, or a willingness to become expert.

Demonstrated expertise in microarchitecture definition, performance modeling, and trade-off analysis. Capability to develop Architecture behavioral models is highly desired.

Experience working across the ASIC development lifecycle, from concept through productization.

Experience in high-speed I/O integration (e.g., PCIe Gen5/Gen6, SerDes) and Software Control Plane interface architecture is highly desirable.

Understanding of physical design implications on packet processing and buffering architecture (e.g., timing, area, power).

Strong analytical and problem-solving abilities, with meticulous attention to detail in troubleshooting and debugging complex issues. Exceptional written and verbal communication skills, including the ability to document and present complex architectural concepts clearly.

Why Join Us?

At Eridu AI, you'll have the opportunity to shape the future of AI infrastructure, working with a world-class team 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 the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles.