Network Support Engineer (Hybrid)

  • Santa Clara, CA
  • Posted 17 hours ago | Updated 17 hours ago

Overview

Hybrid
$53
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Ansible
Artificial Intelligence
Border Gateway Protocol
Computer Hardware
Computer Networking
Configuration Management
Conflict Resolution
Data Centers
Data Link Layer
Ethernet
GPU
GPU Computing
HPC
IPv4
IPv6
InfiniBand
Lifecycle Management
MPLS
Management
Network
Network Design
Network Engineering
Network Monitoring
Network Security
Optical Fiber
Performance Improvement
Problem Solving
Python
Routing
Ruby
Switches
TCP
UDP
Virtual Private Network

Job Details

Network Support Engineer

Santa Clara, CA 95051 - Onsite/Hybrid

PAY RATE - $53/HR ON C2C

Contract

Top Skills:

Data Center & AI Cluster Networking

High-performance interconnects GPU, HPC, AI clusters

InfiniBand, Ultra Ethernet, ROCEv2, DCQCN

Dark Fiber / Carrier Interconnect Optimization

Hybrid DC Network Architecture & Fabric Design

Job Description/Responsibilities:

This is a hands-on network engineering position focused on the architecture, design, development and deployment of ultra-high-speed, resilient, and scalable DC AI Clusters and Interconnects for GPU-accelerated data centers and compute clusters. Outstanding problem-solving abilities and a comprehensive understanding of the network security protocols & standards, routing, switching, automation and deep understanding of fundamental network theory is also critical to your success at NVIDIA.

Key Responsibilities

Lead the architecture, design, and deployment of global-scale DCs inter-connects and fabric for HPC, AI, and GPU computing clusters.

Develop high-performance data center fabric using InfiniBand, Ultra Ethernet and related technologies.

Optimize carrier interconnects, intra and inter DC routing, and dark fiber deployments to ensure low latency and high reliability.

Partner with system, OS, GPU, and HPC teams to deliver scalable, highly available networks for extreme-performance workloads.

Implement network monitoring, telemetry, solving, and continuous performance improvement processes.

Drive technology selection, vendor engagement, and lifecycle management for Data Center hardware and software.

What We re Looking For:

Minimum 6-8+ years of experience in building, managing and supporting large scale hybrid networks, developing automation pipelines with Python, Ruby, Go or other languages used in infrastructure automation.

SME in networking technologies: InfiniBand, Ultra Ethernet, ROCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS.

Experience automating network infrastructure

Experience using an automated configuration management system (Python Ansible, Salt, etc.)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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