Senior Network Engineer – Data Center / HPC/AI

Senior Network Engineer – Data Center / HPC Infrastructure

Location: Dallas, TX (Hybrid)

Type: Direct Hire

• Competitive base salary 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.