Senior Network Engineer – AI Data Center Networks

your Jared; Portland, Northern (OR, KY); Hybrid; USD 83,000 - 152,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) plan

PTO

Job summary

BNS Networks is seeking a Senior Network Engineer to own the design and engineering of multi-site WAN backbones and high-density GPU compute fabrics for AI data center operators. You will transform concepts into detailed designs and lead fabric bring-up across sites.

This fully remote role offers collaboration with engineering, deployment, and customer teams, with travel to active data centers as needed (estimated 25–40%).

Qualifications

• 10+ years of experience in network engineering or large-scale WAN/backbone design.
• Deep knowledge of BGP (eBGP/iBGP, multi-homing, transit and peering).
• Hands-on experience designing and deploying leaf-spine data center fabrics.
• Experience with InfiniBand and/or RoCE GPU back-end networks (fat-tree topology, NCCL patterns).
• Ability to produce HLD/LLD documentation and structured cable schedules to build-ready standards.
• Strong problem-solving and technical communication skills.
• Willingness to travel to customer/project sites (25–40%).

Responsibilities

• Design multi-site network backbones with BGP routing, transit/peering, and data center interconnect documentation.
• Engineer high-density GPU compute fabrics using InfiniBand or RoCE.
• Develop port-to-port cable maps and fabric plane architectures for NVL72-class GPU clusters.
• Plan and execute staged fabric bring-up with Subnet Manager and firmware alignment.
• Produce HLD and LLD docs, IP and ASN schemes, and cable schedules through construction phase.
• Apply NetDevOps practices to the fabric via IaC and automated validation.
• Coordinate carrier/transport and capacity planning across sites.
• Support network operations and managed services through deployment and hypercare.

Skills

BGP routing

Data center fabric design

Leaf-spine topology

InfiniBand/RoCE

HLD/LLD documentation

Cable schedules

NetDevOps

Technical communication

Travel 25–40%

Job description

Senior Network Engineer – AI Data Center Networks

Location: Portland OR, Sumter SC or SF Bay Area CA or remote

Job Type: Full Time, Hourly, Non-Exempt

Travel Requirement: Up to 75%

At BNS Networks, we design, deploy, and operate the network infrastructure behind large-scale AI compute. Our team provides complete lifecycle support — from high-level design and structured cabling to fabric bring-up, commissioning, and managed operations — keeping our customers’ networks performing at line rate when it matters most.

BNS offers a competitive and relevant benefits package that keeps our employees in mind. Our benefits package includes medical, dental, and vision coverage, 401(k), and paid time off (PTO).

POSITION OVERVIEW

We are growing and looking for a Senior Network Engineer to join our engineering team. In this role, you will own the design and engineering of multi-site WAN backbones and high-density GPU compute fabrics for AI data center operators — taking projects from concept and high-level design through detailed design, build, and validation.

This position offers the opportunity to work closely with engineering, deployment, and customer teams while contributing to complex AI infrastructure projects from design through delivery and into operations. This is a fully remote role and can be based anywhere, with the ability to travel to active data center sites as needed.

WHAT YOU’LL DO

• Design multi-site network backbones — BGP routing, transit and peering, internet edge, and data center interconnect (DCI) — and document them as defensible high- and low-level designs
• Engineer high-density GPU compute fabrics (leaf-spine, rail-optimized fat-tree) using InfiniBand (NDR/XDR) and RoCEv2 / Spectrum-X Ethernet
• Develop port-to-port cable maps and fabric plane architectures (single, dual, and quad plane) for NVL72-class GPU clusters, preserving NCCL collective performance
• Plan and execute staged fabric bring-up — Subnet Manager / UFM configuration, firmware and pkey alignment, and controlled port enablement to avoid trap storms and reconvergence events
• Produce HLD and LLD documentation, IP and ASN schemes, and cable schedules, and drive them through an issued-for-construction freeze and commissioning process
• Apply NetDevOps practices — source-of-truth databases, infrastructure-as-code, and automated validation — to the logical fabric
• Coordinate carrier and transport (transit, wavelengths, point-to-point links) and capacity planning across sites
• Support network operations and managed services — monitoring, change control, root-cause analysis, and preventive maintenance — through deployment and hypercare

WHAT WE’RE LOOKING FOR

• 10+ years of experience in network engineering, data center fabric design, or large-scale WAN/backbone design
• Deep command of BGP (eBGP/iBGP, multi-homing, transit and peering) and enterprise or service-provider routing and switching
• Hands-on experience designing and deploying leaf-spine data center fabrics
• Working knowledge of InfiniBand and/or RoCE GPU back-end networks — fat-tree topology, rails, and collective traffic patterns
• Ability to produce HLD/LLD documentation and structured cable schedules to a build-ready standard
• Strong problem-solving and technical communication skills, and the ability to collaborate across engineering, deployment, and customer teams
• Willingness to travel to customer and project sites (estimated 25–40%)

EXPERIENCE IN THE FOLLOWING AREAS IS A PLUS

• NVIDIA reference architectures — GB200 / GB300 NVL72, ConnectX-7/8, Quantum InfiniBand, Spectrum-X, and DGX/HGX SuperPOD designs
• Subnet Manager / UFM operations and InfiniBand fabric troubleshooting (trap storms, LFTs, GUID/pkey)
• High-speed optics and structured cabling — OSFP / QSFP-DD, MPO/MTP trunking, single-mode (APC) fiber
• NetDevOps tooling — automation, infrastructure-as-code, and source-of-truth / IPAM systems
• Network certifications such as CCNP / CCIE, JNCIP, or NVIDIA networking credentials
• Experience with NOC operations, managed services, or hypercare for production data centers

WHY JOIN BNS NETWORKS?

At BNS Networks, you’ll work alongside a team that values technical depth, collaboration, and execution. Our engineers play a direct role in building and operating the networks behind the AI buildout — backbone, fabric, and everything in between.

BNS is an Equal Opportunity Employer (EEO).