VAST Data Logo

VAST Data

Network Engineer - AI Infrastructure, RDMA & Storage

Posted 4 Days Ago
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
Description

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.

About the Role :

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.

Requirements

What a Day in the Life Looks Like :

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.

Professional Experience & Skills

  • 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

Similar Jobs

4 Days Ago
Remote
2 Locations
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
12 Minutes Ago
Remote or Hybrid
USA
125K-180K Annually
Senior level
125K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Build and deploy production-grade AI and machine learning solutions for marketing and sales, including LLM agents, data-quality pipelines, semantic search, RAG, analytics, and integrations with Salesforce, Marketo, and Adobe platforms. Define evaluation and governance practices, monitor AI services, implement privacy controls, and collaborate with platform teams. Train and mentor technical and business stakeholders on responsible AI adoption while supporting DevOps, incident response, and operational runbooks.
Top Skills: Adobe AnalyticsAdobe Experience CloudAgent FrameworksAlgoliaAWSAzureCi/CdDatabricksElasticsearchEmbeddingsEvent-Driven ArchitectureGitGitlab Ci/CdHybrid SearchJavaJavaScriptJenkinsKafkaLlm ApisMachine LearningMarketoOpensearchPrompt EngineeringPythonRagRest ApisSalesforceSemantic RetrievalSnowflakeSQLTypescriptVector Search
3 Hours Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverages, and converts prospects into policyholders. The role includes paid training and licensing support, customer-focused sales, lead conversion, schedule flexibility, and remote work. Representatives must meet state licensing requirements, maintain a professional home workspace, and work four weekdays plus one weekend day.
Top Skills: PcWired High-Speed Internet

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account