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Eridu AI

AI-native networking chips for large clusters

Power Engineer

Power Systems EngineeringConfirmed live in the last 24 hours
Full-timeSaratoga, CA, USANo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science in Electrical Engineering is required.
  • At least 10 years of experience in power design; experience in high-power systems is preferred.
  • Proficiency with schematic capture and computer-aided design (CAD) layout review tools.
  • In-depth knowledge of current power technologies.
  • Hands-on experience troubleshooting and resolving issues in board-mounted power systems.
  • Proficiency with stability analyzers, oscilloscopes, function generators, and electronic loads.
  • Ability to thrive in a fast-paced environment.
  • Excellent verbal and written communication skills.

Responsibilities

  • Develop comprehensive power supply solutions, including voltage regulation, power conversion, and distribution.
  • Design DC-DC converters, AC-DC modules, linear regulators, and power management circuits.
  • Use H-SPICE or LTspice simulation tools to model circuit performance.
  • Collaborate with PCB layout engineers to optimize placement and routing of power components.
  • Apply best practices to minimize noise, electromagnetic interference (EMI), and crosstalk.
  • Work with suppliers to select and procure reliable power regulation and conversion components, including FETs, capacitors, inductors, diodes, and integrated circuits.
  • Develop and execute test plans and procedures to validate efficiency, transient response, ripple, noise, and thermal performance under various operating conditions.

Desired Qualifications

  • A master's degree in Electrical Engineering is preferred.
  • Experience in high-power systems is preferred.

About the Company

Eridu AI

AI-native networking chips for large clusters

Eridu AI designs AI-native networking chips and systems that replace multi-hop optical tiers in large GPU training clusters. Their products place more networking functions on-chip within a redesigned switch stack, which reduces power consumption, cost, and latency as GPU bandwidth scales. This approach differs from traditional Arista-like gear by integrating switching functionality directly into silicon, aiming for highly scalable, energy-efficient networking for hyperscale cloud providers, AI labs, and enterprises running million-GPU-class clusters. The company targets large-scale GPU deployments and seeks to make data-center networking more efficient, scalable, and cost-effective, backed by substantial funding from major investors to support growth and deployment.

Company size
51-200
Company stage
Series A
Total funding
$230M
Headquarters
Saratoga, CA
Founded
2024

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