E

Eridu AI

AI-native networking chips for large clusters

Power Engineer

Power Systems EngineeringUpdated on Nov 13
Full-timeTaipei City, TaiwanNo salary listed

About the Job

Requirements

  • A Bachelor of Science in Electrical Engineering or a similar technical area of study is required.
  • At least 10 years of experience in power design, preferably in high-power systems.
  • Proficiency in schematic capture and computer-aided design layout review tools.
  • In-depth knowledge of the latest power technologies.
  • Hands-on experience troubleshooting and resolving issues in board-mounted power systems.

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 simulation tools such as H-spice or LTspice to model circuit performance.
  • Collaborate with PCB layout engineers to optimize placement and routing of power components.
  • Implement best practices for minimizing noise, electromagnetic interference, 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 in Electrical Engineering or a similar technical area of study.
  • Expertise in schematic capture and computer-aided design layout review tools.
  • Advanced knowledge of stability analyzers, oscilloscopes, function generators, and electronic loads.

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

Recently Posted Jobs

Explore more opportunities at Eridu AI

See more jobs