SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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 reduce the cost and complexity of enterprise and AI infrastructure across data center, 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, not operational support.
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 differences across technology generations (e.g., 800G vs. 100G) and translating findings into standards for the field organization
- Reproducing and resolving novel issues encountered by strategic customers, then implementing preventive 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 combines hands-on technical work with strategic influence—you'll shape how the entire field organization approaches network design and troubleshooting for VAST's most demanding deployments.
Requirements: Not specified in the provided posting text.
