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AI Network Engineer

Job

Robert Half

Houston, TX (In Person)

Full-Time

Posted 3 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/8/2026

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Job Description

Description Overview:
We are seeking an experienced AI Network Engineer to support and optimize high-performance infrastructure powering AI/ML workloads. This role focuses on designing and maintaining GPU-accelerated environments leveraging NVIDIA technologies, high-throughput networking, and low-latency architectures.
Key Responsibilities:
+ Design, implement, and support high-performance networks for AI/ML workloads, including GPU clusters and distributed training environments + Deploy and optimize NVIDIA-based infrastructure (DGX systems, HGX platforms, or GPU clusters) + Configure and manage high-speed networking technologies such as InfiniBand, RoCE, and 100/200/400Gb Ethernet + Optimize network performance for east-west traffic, low latency, and large data throughput required for AI model training + Integrate NVIDIA software stack (CUDA, NCCL, GPU Cloud, AI Enterprise) with networking and compute environments + Troubleshoot performance bottlenecks across network, storage, and GPU interconnects + Collaborate with AI/ML engineers to ensure infrastructure meets training and inference demands + Support automation and infrastructure-as-code initiatives for scalable AI environments
Requirements Required Qualifications:
+ 5+ years of experience in network engineering or infrastructure engineering + Hands-on experience with high-performance networking (InfiniBand, RDMA, RoCE) + Experience supporting GPU-based or HPC environments + Strong knowledge of data center networking (L2/L3, BGP, EVPN, VXLAN) + Familiarity with Linux systems and performance tuning + Experience with NVIDIA ecosystems (DGX, CUDA, NCCL, or similar) + Ability to diagnose low-latency and high-throughput network issues
Preferred Qualifications:
+ Experience with
NVIDIA AI
Enterprise or DGX SuperPOD environments + Knowledge of AI/ML workflows and distributed training frameworks (PyTorch, TensorFlow) + Familiarity with Kubernetes for AI workloads + Experience with storage solutions supporting AI workloads (parallel file systems, NVMe over Fabrics) + Exposure to cloud-based GPU environments (AWS, Azure, GCP) Technology Doesn't Change the World, People Do.® Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .