> Markdown version of [/jobs/ext/4625895-gpu-network-engineer](https://www.wearedevelopers.com/jobs/ext/4625895-gpu-network-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# GPU Network Engineer

- **Company:** Blue Signal
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Common Lisp Object Systems, Computer Clusters, Data Centers, General-Purpose Computing on Graphics Processing Units, InfiniBand, Junos, Network Layer, Netconf, Network Architecture, Packet Analyzer, Remote Direct Memory Access, Ansible, AI Infrastructure, Scripting, Computer Network Operations, High Performance Computing, Computer Network Technologies, Juniper, Infrastructure Automation Frameworks, Low Latency, Terraform, Network Optimization
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_0bb4a3dde78ffc1cd81ef45cd4873dd9

## About the Role

* Minimum of 5 years of experience supporting enterprise data center or HPC networking environments with direct GPU cluster networking experience.
 * Extensive hands on experience with InfiniBand (NDR or XDR) and RoCEv2 networking technologies.
 * Strong expertise designing and supporting east west networking for GPU or AI infrastructure.
 * Experience with CLOS architectures, ECMP routing, EVPN, and VXLAN.
 * Hands on administration of Arista EOS, Juniper Junos, and NVIDIA or Mellanox networking platforms.
 * Experience using NetBox, Netconf, Ansible, and Terraform to automate network deployment and management.
 * Strong troubleshooting skills, packet analysis experience, and network performance optimization capabilities.
 * Excellent communication and technical documentation skills., * Experience optimizing fabrics supporting large scale AI training workloads.
 * Knowledge of adaptive routing, congestion management, RDMA optimization, and lossless networking.
 * Python scripting for infrastructure automation.
 * Industry certifications such as CCNP, CCIE, JNCIP, JNCIE, or equivalent practical experience.

## Description

An innovative technology organization at the forefront of AI infrastructure is seeking a GPU Network Engineer to help design and operate the high-performance networking backbone powering advanced GPU computing environments. This opportunity is ideal for an engineer who enjoys solving complex networking challenges, optimizing ultra low latency communication, and building highly scalable infrastructure supporting large AI training and inference workloads. You will work alongside experienced infrastructure and compute professionals while influencing the architecture of next generation GPU clusters., * Design, deploy, and optimize high performance InfiniBand (NDR and XDR) and RoCEv2 fabrics supporting large scale GPU and AI workloads.

 * Build scalable CLOS and ECMP network architectures that deliver low latency, high bandwidth east west traffic across distributed GPU environments.
 * Implement and support EVPN, VXLAN, Layer 2, and Layer 3 networking for modern data center infrastructure.
 * Configure and maintain Arista, Juniper, and NVIDIA networking platforms while ensuring highly available, resilient network operations.
 * Automate network provisioning, configuration, and lifecycle management using Netconf, Ansible, Terraform, and NetBox.
 * Monitor, troubleshoot, and optimize network performance through packet analysis, telemetry, and root cause analysis.
 * Partner with infrastructure, compute, and platform engineering teams to support AI training, inference, and high performance computing initiatives.
 * Create and maintain technical documentation, operational procedures, and implementation standards while participating in change management and infrastructure improvements.