Network Engineer - AI Infrastructure, RDMA & Storage

VAST Data
United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$117,000.0 - $158,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Border Gateway Protocol Network Operating System (NOS) Cloud Computing Network Congestion Data Centers Data Infrastructure Data Migration Ethernet Network Interface Controllers Interoperability Network Architecture
+15 more
Routing Remote Direct Memory Access Software Engineering Systems Integration Wireshark Virtual Local Area Networks AI Infrastructure Enterprise Software Applications Performance Testing Juniper Data Center Networking Low Latency Real Time Data Hubspot Cisco

Job description

Be an Early Applicant Remote Hiring Remotely in United States Entry level Remote Hiring Remotely in United States Entry level Designs reference architectures for AI and data center networks, including BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; tests interoperability and performance; reproduces customer issues; and diagnoses routing, congestion, packet loss, MTU, and latency problems across GPU, fabric, and storage paths. Documents best practices, develops automation, collaborates with vendors and internal teams, and feeds findings into product development. The summary above was generated by AI, The fastest system in the world is only as fast as the network under it. As a Network Engineer in VAST’s Field Engineering organization, you define how VAST connects to the world: the reference architectures, validated switch configurations, and RDMA fabric designs every customer deployment is built on.

This is a design and research role, not a support queue. You will build and run the lab where new switches, NICs, and network operating systems are qualified before they ever reach a customer. You will investigate why a fabric behaves differently at 800G than it did at 100G, and turn the answer into a standard the whole field organization uses. When a strategic customer hits something nobody has seen before, you reproduce it, explain it, and make sure it never happens to the next customer.

You will work across R&D, QA, Support, Product, and customer engineering teams, and directly with networking vendors including NVIDIA, Arista, Cisco, and Juniper. The work sits where AI infrastructure is hardest: GPU fabrics, lossless Ethernet, and storage protocols moving at line rate., Design the Architecture: Define reference network architectures for VAST deployments: L2 and L3 fabrics, BGP and EVPN/VXLAN designs, RoCEv2 and QoS policy. Decide what “good” looks like, then write it down so the field can execute it consistently.

Own the Lab: Build and run validation environments for switch qualification, interoperability testing, performance characterization, and reproduction of customer issues. Your lab is where we find problems before customers do.

Qualify the Ecosystem: Evaluate new switches, network operating systems, and NICs from NVIDIA, Arista, Cisco, Juniper, and others. Work directly with vendor engineering teams to close gaps and certify what works.

Solve What Nobody Else Can: Chase complex problems across the full path between GPUs, fabric, and storage. Congestion, packet loss, MTU, latency, PFC and ECN behavior under real load. Root cause it, then fix it at the source.

Turn Findings into Product: Feed what you learn back into VAST, as documented best practice, as automation, and as direct input to R&D on what the platform should do differently., Entry level Entry level Artificial Intelligence * Software Designs reference architectures for AI infrastructure networks, including L2/L3 fabrics, BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; conducts interoperability and performance testing; reproduces customer issues; and diagnoses congestion, packet loss, MTU, latency, PFC, and ECN problems. Collaborates with vendors and internal engineering teams to convert findings into validated configurations, automation, documentation, and product improvements. Top Skills: Arp/NdBgpEbgpEcmpEcnEvpn/VxlanIbgpIperfL2 NetworkingL3 RoutingLinux NetworkingLossless EthernetMtuNetwork Operating SystemsNicsPfcQosRdmaRocev2TcpdumpVlansWireshark Wipfli

Service Desk Specialist II

22 Minutes Ago Remote or Hybrid 23-30 Hourly Junior 23-30 Hourly Junior Cloud * Fintech * Software * Business Intelligence * Consulting * Financial Services Provides technical support for low- to moderate-complexity hardware and software issues, resolves service desk requests, researches escalated problems, maintains knowledge of client systems, and assists with training and knowledge transfer. The role requires strong customer service, troubleshooting, and problem-solving skills, with shifts based in Chicago either fully in-person or hybrid. Top Skills: AzureIntuneMS OfficeOffice 365Windows, Wipfli

Requirements

  • Strong data center networking fundamentals - CCNP level or equivalent hands-on experience
  • Solid command of BGP and L3 routing: eBGP/iBGP, ECMP, route policy, multipath, BGP-based fabrics
  • Hands-on experience designing and troubleshooting both L2 and L3 data center networks
  • Real troubleshooting ability across layers - routing, ARP/ND, MTU, congestion, packet loss, latency
  • Working knowledge of Linux networking: interfaces, VLANs, routing tables, namespaces, MTU
  • Comfort with tcpdump, Wireshark, iperf, and the standard diagnostic toolkit
  • The instinct to build a lab and reproduce a problem rather than theorize about it
  • Clear technical writing - your designs and findings are only useful if others can follow them

Benefits & conditions

Remote or Hybrid United States 117K-158K Annually Senior level 117K-158K Annually Senior level Cloud * Fintech * Software * Business Intelligence * Consulting * Financial Services Lead complex HubSpot and Creatio CRM implementations from strategy through deployment and optimization. Advise executive stakeholders, architect scalable solutions, oversee configuration, integrations, data migration, testing, and adoption, and manage delivery quality, scope, timelines, and risks. Mentor consulting and technical teams, develop implementation standards, support presales activities, and expand CRM consulting offerings and client relationships. Top Skills: AnalyticsCreatioCRMData MigrationErpHubspotIntegrationsMarketing Automation

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About the company

VAST Data is the data platform company for the AI era. We build enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets, and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

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