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Eridu AI

AI-native networking chips for large clusters

Manager Hardware Engineering

Engineering LeadershipUpdated on Nov 13
Full-timeSaratoga, CA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering or Computer Engineering.
  • At least 10 years of experience in system-level development.
  • Outstanding knowledge of hardware design processes and practices.
  • A track record of delivering high-speed products from concept to production.
  • A good understanding of high-speed design and signal and power integrity considerations.
  • Prior experience in project or program management.
  • Excellent presentation, verbal, and written communication skills.
  • Three to four or more years of leadership experience is ideal.

Responsibilities

  • Work cross-functionally to turn high-level requirements into detailed hardware specifications.
  • Oversee hardware development, including schematic entry, layout, and design reviews.
  • Oversee signal integrity and power integrity analysis.
  • Develop technology de-risk plans through supplier evaluations and early prototypes.
  • Manage the development and execution of test plans, including BringUp, EDVT, MDVT, and EMI/EMC.
  • Drive the system from prototypes to full production, meeting quality, cost, schedule, and budget targets.
  • Develop comprehensive project plans covering goals, schedules, risks, mitigation, and status, and present them at Commit and Review milestones.
  • Manage ODM/JDM development, ensuring deliverables are met on time and with quality.
  • Lead a hardware development team, recruit members, and ensure their success individually and as a team.

Desired Qualifications

  • Prior work within the server or networking industries.
  • Proficiency in high-speed technologies, including Ethernet, PCIe, SerDes, and optical modules such as SFPs, QSFPs, and OSFPs.
  • Proficiency in control-plane protocols, including I2C, SPI, and PMBUS.
  • A good understanding of FPGA design, verification, and synthesis processes.
  • A good understanding of clocking and power delivery.
  • Good systems knowledge, including chassis, connectors, cabling, and thermals.
  • Strong people-management skills, including mentorship and fostering success in the team.

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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