VAST Data Logo

VAST Data

Network Engineer - AI Infrastructure, RDMA & Storage

Posted 5 Days Ago
Remote
2 Locations
Entry level
Remote
2 Locations
Entry level
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.
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

VAST Data Campbell, California, USA Office

33 N 1st St, Campbell, California, United States, 95008

Similar Jobs

5 Days Ago
Remote
United States
Entry level
Entry level
Artificial Intelligence • Software
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.
Top Skills: Ai InfrastructureAristaArp/NdBgpCiscoData Center NetworkingEbgpEcmpEcnEvpn/VxlanIbgpIperfJuniperL2 NetworkingL3 RoutingLinux NetworkingMtuNvidia NetworkingPfcQosRdmaRocev2TcpdumpVlansWireshark
An Hour Ago
Remote or Hybrid
United States
82K-110K Annually
Entry level
82K-110K Annually
Entry level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Investigate security alerts, collect and analyze evidence, identify intrusion vectors, and document incident findings and remediation recommendations. Conduct threat hunting, analyze forensic artifacts during incident response, improve threat detection capabilities, research attack methodologies, and provide technical feedback to product development teams. Collaborate across security functions while driving process improvements and maintaining ownership of investigations and remediation tracking.
Top Skills: LinuxmacOSRapid7 Command PlatformSIEMSplunkWindows
3 Hours Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations.
Top Skills: AlertmanagerArgo CdArgo WorkflowsCi/CdDebianDockerGoGoreleaserGrafanaHelmJavaScriptJenkinsKubernetesKustomizeLinuxPrometheusPulumiPypiTemporalTerraformTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account