Senior Power Engineer

About Eridu

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 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.

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.

Eridu has raised over $200M to date including its most recent, oversubscribed Series A round. The company 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 is working with best-in-class supply chain partners including silicon, packaging and systems.

Visit our website eridu.ai to learn more.

Position Overview

We are seeking an experienced Power Engineer to design and develop high-efficiency power delivery solutions for advanced networking and AI infrastructure. The ideal candidate will have deep expertise in DC-DC power conversion, power distribution networks, and high-power system design, with experience supporting demanding applications such as AI accelerators, high-performance networking, or data center platforms.

This role involves working on cutting-edge power delivery architectures that support extremely high current, low-voltage ASICs and next-generation networking systems, ensuring optimal efficiency, reliability, and performance.

Key Responsibilities

• Design and develop high-efficiency DC-DC power conversion systems, including circuit analysis, simulation, control loop design, and stabilization.
• Architect and implement board-level power conversion solutions, balancing performance, cost, reliability, and availability requirements.
• Develop advanced power supply solutions to support high-power AI workloads and next-generation networking platforms.
• Design and optimize multi-phase power delivery solutions for low-voltage, high-current applications.
• Create power conversion architectures that translate 48V rack power (OCP-style infrastructure) into the lower voltages required by high-power ASICs.
• Perform PCB power integrity analysis, including IR drop and power loss analysis, and optimize power distribution networks using simulation tools.
• Support power delivery design for large BGA packages, ensuring proper current distribution and thermal performance.
• Lead testing, validation, and debugging power supply designs to ensure performance, reliability, and manufacturability.
• Collaborate with cross-functional teams across ASIC, Mechanical, Thermal systems, and infrastructure engineering to deliver robust power solutions.
• Evaluate and adopt emerging power technologies relevant to AI hardware and data center infrastructure.

Required Qualifications

• 10+ years of industry experience in electrical engineering or power electronics.
• 5+ years of hands-on power supply design experience.
• Strong knowledge of high-efficiency DC-DC conversion architectures.
• Experience with power electronics simulation tools (e.g., SPICE or equivalent).
• Deep understanding of control loop design and stability analysis.
• Expertise in multi-phase power design for high current loads specifically for vertical power delivery applications.
• Experience designing power delivery systems for high-power ASICs or large BGA devices.
• Knowledge of PCB power integrity, IR drop analysis, and PDN optimization.
• Familiarity with AI hardware platforms, data center infrastructure, or HPC systems.

Preferred…