Principal AI Infrastructure Network Engineer (Equity)

Nscale

Seattle, New York, San Francisco, Houston (WA, NY, CA, TX)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Base salary + equity
Equity incentives
Dynamic progression plan

Job summary

Nscale in Seattle is seeking a Principal Network Engineer – AI Infrastructure to provide technical leadership across high-speed networking, focusing on Infiniband and RDMA fabrics. You will own reliability, scalability, and long-term evolution, guiding architecture and standards across teams.

You’ll mentor engineers, drive cross-team initiatives to improve uptime and latency, define hardware configurations and routing practices, and influence end-to-end system design with SRE and compute

Qualifications

  • 10+ years in network engineering with focus on HPC/AI or hyperscale data centers.
  • Expertise in Infiniband and large-scale RoCE fabrics.
  • Understanding of RDMA internals and congestion management.
  • Proficiency in data center routing/control planes (BGP/OSPF/ECMP).
  • Ability to lead complex initiatives across teams without direct authority.

Responsibilities

  • Own technical direction and operational strategy for AI interconnect networks.
  • Design and evolve large-scale Infiniband/RoCE fabrics to support growth.
  • Lead complex investigations and provide systemic fixes for incidents.
  • Drive cross-team efforts to improve fabric reliability and performance.
  • Define standards for hardware config, congestion control, and routing.

Skills

HPC networking
RoCE fabric
RDMA internals
BGP/OSPF/ECMP
Cross-team leadership

Tools

Mellanox NICs

Job description

Nscale in Seattle is seeking a Principal Network Engineer – AI Infrastructure to provide technical leadership across high-speed networking, focusing on Infiniband and RDMA fabrics. You will own reliability, scalability, and long-term evolution, guiding architecture and standards across teams.

You’ll mentor engineers, drive cross-team initiatives to improve uptime and latency, define hardware configurations and routing practices, and influence end-to-end system design with SRE and compute

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