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VAST Data is building the data platform for the AI era, providing enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets for real-time analysis and AI training/inference. The company designs systems to simplify AI deployment and management across data centers, edge, and cloud environments.
As a Network Engineer in VAST's Field Engineering organization, you will define how VAST connects to the world through reference architectures, validated switch configurations, and RDMA fabric designs that underpin every customer deployment. This is a design and research role focused on technical excellence rather than support operations.
Key responsibilities include:
- Building and operating the lab environment where new switches, NICs, and network operating systems are qualified before customer deployment
- Investigating network behavior anomalies (e.g., performance differences between 800G and 100G configurations) and translating findings into standards for the field organization
- Reproducing, diagnosing, and resolving novel issues encountered by strategic customers, then implementing preventative measures for future deployments
- Collaborating across R&D, QA, Support, Product, and customer engineering teams
- Working directly with major networking vendors including NVIDIA, Arista, Cisco, and Juniper
- Operating at the intersection of AI infrastructure challenges: GPU fabrics, lossless Ethernet, and storage protocols at line rate
The role requires deep expertise in network design, RDMA protocols, and high-performance computing infrastructure. You will be responsible for establishing best practices and technical standards that scale across VAST's customer base.
Requirements: Not specified in the provided posting text.
