Senior Network Engineer – Data Center / HPC Infrastructure in Dallas, Texas

Location

Dallas, Texas

Job Type

Full-time

Salary

$160,000 – $210,000/yr

Company

GTN Technical Staffing

Senior Network Engineer – Data Center / HPC Infrastructure

Location: Dallas, TX (Hybrid) - relo offered

Type: Direct Hire

• 160-210K base + performance bonus

• 100% company-paid benefits

• Relocation available

Overview

We are seeking a Senior Network Engineer to design, build, and operate high-performance data center networks supporting HPC, AI/ML workloads, and next-generation CaaS / GPUaaS platforms.

This role focuses on delivering ultra-low-latency, high-throughput network infrastructure optimized for GPU- and CPU-intensive compute environments. You will play a critical role in enabling scalable, multi-tenant AI infrastructure by ensuring network performance, reliability, and efficiency across distributed data center environments.

The ideal candidate brings deep expertise in modern data center networking, hands-on experience with high-performance fabrics, and a strong understanding of networking requirements for GPU-accelerated and containerized platforms at scale.

Key Responsibilities

Data Center & HPC Network Engineering • Design, implement, and operate high-performance data center networks supporting HPC, AI/ML, and GPUaaS / CaaS environments • Optimize architectures for east-west traffic, low latency, and high throughput across large-scale compute clusters • Support distributed GPU and CPU workloads, ensuring consistent performance under heavy parallel processing demands

Network Architecture & Multi-Tenant Design • Design and manage leaf-spine / Clos architectures using EVPN-VXLAN overlays • Build scalable, multi-tenant network architectures supporting workload isolation and segmentation for CaaS / GPUaaS platforms • Support DCI, backbone connectivity, and hybrid/cloud on-ramp strategies

Performance, Reliability & Optimization • Monitor and tune network performance for latency, throughput, and congestion across HPC environments • Perform deep packet inspection, traffic flow analysis, and root cause troubleshooting • Drive capacity planning and scaling strategies aligned with compute and GPU cluster growth • Ensure high availability through redundancy, failover validation, and operational rigor

Automation & Infrastructure Engineering • Develop network automation frameworks using Python, Ansible, Git, and Jinja2 • Implement Infrastructure-as-Code (IaC) and CI/CD pipelines for network provisioning and changes • Standardize and scale network deployments across environments

Observability & Telemetry • Implement telemetry and monitoring solutions to provide real-time visibility into network performance • Analyze metrics to proactively identify risks and optimize system behavior • Integrate network observability into broader platform monitoring ecosystems

Cross-Functional Collaboration • Partner with HPC platform, compute, storage, and infrastructure teams to align network architecture with workload demands • Collaborate with architecture and engineering teams on new environment design and deployment • Work closely with vendors to validate performance, interoperability, and scalability

Technical Leadership • Serve as a senior escalation point for network incidents and complex troubleshooting • Mentor junior engineers and contribute to documentation, standards, and best practices • Drive continuous improvement across network architecture, operations, and tooling

Required Experience • 5–8+ years of experience designing and supporting large-scale data center networks • Experience supporting HPC, AI/ML, or GPU-accelerated infrastructure environments • Experience working with or supporting CaaS, GPUaaS, or multi-tenant platform architectures • Strong expertise with: • Leaf-spine / Clos architectures • EVPN, VXLAN, BGP, MPLS • Cisco and/or Arista platforms (NX-OS, EOS, IOS-XR) • Strong understanding of low-latency, high-throughput network optimization • Proven troubleshooting experience in complex distributed environments

Technical Skills • Network automation: Python, Ansible, Jinja2, Git • Infrastructure-as-Code (IaC) and CI/CD pipelines • Network observability, telemetry, and monitoring tools • Packet analysis and traffic flow diagnostics

Preferred Experience • Experience with HPC networking concepts (GPU clusters, distributed training environments) • Familiarity with InfiniBand, RDMA, or RoCE networking • Experience in hyperscale or AI-focused data center environments • CCNP or equivalent certification preferred; CCIE or advanced certifications a plus

Additional Requirements • This position requires applicants to be currently authorized to work in the U.S. without employer sponsorship. • We are unable to sponsor or take over sponsorship of employment visas at this time.