Physical Design Engineer

Eridu Job Opportunity

Eridu is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate AI data centers to deliver faster AI. Today's AI performance is frequently limited by communication bottlenecks. Eridu delivers multiple industry-first innovations across silicon, packaging, software, and systems to deliver a step function in AI networking – a network switch that is an order of magnitude improvement in bandwidth and radix versus today's "state of the art" switches. This is the first silicon and system designed from the ground up for AI and the increase in radix and throughput unlocks greater GPU utilization to speed training job completion times and tokens-per-second for more profitable inference. We do this while simultaneously reducing capital and power costs, improving reliability, simplifying operations and speeding AI data center deployments for faster time to revenue.

The company's solutions and value proposition have been widely validated by leading hyperscalers.

The company has raised $200M to date including its most recent, oversubscribed Series A round led by Socratic Partners, John Doerr, Hudson River Trading, Capricorn Investment Group and Matter Venture Partners, with participation by SBVA, MediaTek, Bosch Ventures, TDK Ventures, Eclipse Ventures, and VentureTech Alliance, among others.

Eridu is led by a veteran team of Silicon Valley executives who have delivered multiple billion dollar product lines and led multiple companies to billion dollar exits, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world's leading micro-LED company). The company is in execution mode and has a world-class engineering team with decades of experience in state-of-the-art silicon, packaging, optics, software, and systems. Eridu has also assembled a world class IP, design and manufacturing ecosystem to execute on its vision, and counts TSMC as a key partner in our journey.

Visit our website eridu.ai to learn more.

Key Responsibilities

• Define the physical assembly of SOC involving all aspects of physical design functions such as P&R, timing, floorplan, clocking, electrical analysis, and power.
• Proficiency in synthesis design constraints (SDC).
• Design and architect top level and block level floor planning of the entire SoC.
• Sound proficiency in either Innovus or Synopsys Fusion Compiler required. Proficiency in synthesis, floor planning, power planning, and timing closure are required.
• Prior experience with large skew optimized clock tree designs like H-Tree preferred. Clock Grid exposure is a plus.
• Work extensively with micro-architects to perform feasibility studies and explore performance, power & area (PPA) tradeoffs for design closure.
• Develop physical design methodologies and customize recipes across various implementation steps to optimize PPA.
• Work with a multi-functional engineering team to implement and validate physical design by running all signoff flows such as Timing, Power, EM/IR, PDV.

Qualifications

• Master's degree or bachelor's degree in EE with a minimum of 10+ years of experience.
• Knowledge using synthesis, place & route, analysis and verification CAD tools.
• Familiarity with logic & physical design principles to drive low-power & higher-performance designs.
• Fluency in scripting in some of these languages: Unix, Perl, Python, and TCL.
• Good understanding of device physics and experience in deep sub-micron technologies 7nm or below.
• Knowledge of Verilog and System Verilog.
• Excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated.
• Ability to work well in a team and be productive under aggressive schedules.
• Prior experience of multiple tape-out in deep submicron 7nm or below is required.

Why Join Us?

At Eridu, 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 infrastructure solutions, transforming the performance of AI data centers.

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.