About Eridu AI

Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. Today’s AI performance is frequently limited by system-level bottlenecks. Eridu AI delivers multiple industry-first innovations across semiconductors, software, and systems to unlock greater GPU utilization, reduce capital and power costs, and maximize data center efficiency. The company’s solutions and value proposition have been validated by several leading 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 company and developer of the first augmented reality contact lens)

.
About the Rol

e:We are seeking a highly experienced and motivated Clock Designer – Design Lead to drive the definition, architecture, and implementation of high-speed clock distribution networks for complex, large-scale SoC designs. This role is critical in ensuring high-performance, low-skew clocking solutions across multi-core, multi-module systems at advanced process nodes (7nm and below

).
Key Responsibiliti

• es:Lead the architecture definition and implementation of high-speed clock distribution networks in large-scale I
• Cs.Define and manage clock architecture specifications, timing budgets, and design methodologies for SoC desig
• ns.Perform clock distribution design modeling, analysis, and implementation to meet aggressive timing and power targe
• ts.Drive post-silicon clock distribution characterization and debug, identifying performance bottlenecks and optimizing solutio
• ns.Develop cross-clock domain data transfer logic and ensure reliable synchronization across timing domai
• ns.Design and implement de-skew mechanisms and cross-clock domain communication protoco
• ls.Collaborate with physical design teams for optimal clock tree synthesis, floorplanning, and integration into SoC flo
• ws.Own the clocking solution from concept to tape-out, ensuring first-pass silicon success across multiple technology nod
• es.Build and evolve clocking design methodologies, ensuring robust, reusable, and scalable design practic
• es.Support synthesis, STA, and integration teams with design constraints (SDC/CDC) and cross-domain timing closu
• re.Participate in system-level architecture reviews and cross-functional discussions to drive overall design quality and performan

ce.
Required Qualificati

• ons:Bachelor’s or Master’s degree in Electrical Engineering or a related fi
• eld.15+ years of industry experience in custom circuit design and clock distribution networks for high-speed S
• oCs.Demonstrated leadership in delivering complex clock architectures and clock distribution implementations across several tapeo
• uts.Expertise in clock timing analysis, budgeting, and hands-on experience with clock de-skew and domain crossing techniq
• ues.Proficiency in physical implementation tools such as Cadence Innovus/Genus or Synopsys Fusion Compi
• ler.Strong scripting skills in Unix, Perl, Python, or TCL for automation and analy
• sis.Excellent understanding of synthesis design constraints (SDC, CDC) and their impact on timing and verificat
• ion.Strong communication and problem-solving skills, with the ability to lead cross-functional te
• ams.Proven ability to deliver results under aggressive schedules, with a high level of accountability and motivat

ion.
Preferred Qualificat

• ions:Prior experience with EMIB architectures and interconnect bridge des
• igns.Familiarity with Verilog and SystemVer
• ilog.Multiple tapeouts in deep submicron nodes (7nm or be

low).
Why Jo

in 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 capabil

ities.
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