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Eridu AI

AI-native networking chips for large clusters

Director Network Solutions Architecture

Pre-Sales Solution EngineeringUpdated on Nov 14
Full-timeSaratoga, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 12 years of experience in networking, systems engineering, solutions architecture, or technical business development.
  • Strong experience working directly with large cloud, hyperscale, or web-scale infrastructure environments.
  • Deep expertise in data center networking, including leaf-spine, dragonfly and optical torus architectures, routing and switching at scale, Layer 2/Layer 3 design, EVPN/VXLAN, BGP, traffic engineering, resiliency, and operations.
  • Strong understanding of networking requirements for AI/ML clusters and distributed compute infrastructure supporting large-scale AI training and inference.
  • Deep understanding of frontier-model communication patterns, parallelism strategies, and their implications for AI network design.
  • Ability to operate as a senior individual contributor in ambiguous, fast-moving environments.
  • Experience leading technical engagements for complex strategic accounts, including architecture reviews, design discussions, proofs of concept, and executive presentations.
  • Demonstrated customer-facing credibility with engineering teams and senior decision-makers.
  • Ability to combine technical architecture, customer strategy, and commercial judgment in a single role.
  • Strong written and verbal communication skills, including the ability to produce high-quality external-facing technical materials.
  • Background in both presales architecture and strategic account development.
  • Experience helping define early go-to-market motions for new infrastructure products.
  • Comfort operating in an early-stage or growth-stage company environment.

Responsibilities

  • Serve as the lead solutions architect for the company’s most strategic hyperscaler opportunities.
  • Partner with Product Management and the Office of the CTO to drive customer-facing technical strategy from initial engagement through architecture definition, design review, proof of concept, and deployment planning.
  • Lead hands-on technical discovery, workshops, whiteboarding sessions, executive presentations, and cross-functional deal coordination as an individual contributor.
  • Partner with Sales, Product, CTO/Architecture, and Engineering to align customer requirements with product direction and company priorities.
  • Develop a deep understanding of each account’s infrastructure priorities, network architecture direction, procurement dynamics, and decision-making processes.
  • Develop end-to-end network architectures for hyperscaler environments, emphasizing AI infrastructure and high-performance Ethernet fabrics for scale-up, scale-out, and scale-across networks.
  • Build trusted relationships with senior technical and business stakeholders within hyperscaler accounts.
  • Own an account management component for a defined set of hyperscaler customers, ensuring continuity across opportunity development, roadmap alignment, technical strategy, and executive engagement.
  • Identify whitespace opportunities within assigned accounts and help drive account plans that expand technical footprint and long-term revenue potential.
  • Support commercial strategy by shaping account priorities, competitive positioning, and engagement models for named hyperscaler customers.
  • Represent the voice of the customer internally by synthesizing technical requirements, product gaps, deployment blockers, and roadmap priorities.
  • Create repeatable technical assets, including network architecture blueprints, presentations, and technical position papers, to support future team scaling.
  • Help drive account planning, including opportunity prioritization, architecture alignment, competitive strategy, and multi-phase adoption paths.

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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