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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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Listed pay typically runs
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Senior Network Engineer - Deployments joins the Network Deployment Engineering team to design and deliver global network infrastructure for data centers, offices, and labs. This role leads complex data center and WAN deployments from initial architecture through production readiness and operational handoff. You will build and optimize highly available architectures using BGP, EVPN, VXLAN, SD-WAN, and IPsec technologies. Key responsibilities include managing multi-vendor environments featuring Arista, NVIDIA Cumulus Linux, Palo Alto Networks, F5, and Citrix. You will develop automation using Python, Ansible, Salt, and APIs to create scalable, repeatable engineering processes. The work involves solving infrastructure challenges for accelerated computing and AI, requiring deep expertise in routing policy, multi-tenancy, packet-level troubleshooting with Wireshark, and emerging AI networking technologies like RoCEv2 and InfiniBand.
What does a Network Engineer earn in California?
Median $171500 from 34 postings across 11 companies.
Lead end-to-end deployment of global data center and WAN infrastructure from design through production cutover.
Design and optimize high-availability network architectures using BGP, EVPN, VXLAN, and SD-WAN technologies.
Deliver large-scale multi-vendor environments using Arista, NVIDIA Cumulus Linux, Palo Alto Networks, and F5.
Develop network automation using Python, Ansible, Salt, and APIs to create scalable, repeatable deployment workflows.
Establish rigorous deployment practices including network standards, topology documentation, configuration validation, and telemetry.
Serve as a senior technical escalation point for complex troubleshooting using packet-level analysis and Linux tools.
Translate production deployment lessons into reusable engineering standards and automated workflows for global infrastructure.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field, or equivalent experience.
8+ years of progressive network engineering experience in large-scale data center, WAN, or enterprise network design and deployment.
Deep technical knowledge of BGP, IP routing, EVPN/VXLAN leaf-spine or Clos/fat-tree architectures, routing policy, segmentation, and multi-tenant networking.
Hands-on expertise with Arista and NVIDIA Cumulus Linux, including configuration, deployment, operations, and Linux-based network troubleshooting.
Proficiency with network automation and scripting using Python, Ansible, Salt, REST APIs, or comparable automation frameworks.
Advanced troubleshooting capabilities across routing, switching, overlays, firewalls, and load balancers using packet-level analysis tools like Wireshark or tcpdump.
Advanced knowledge of Palo Alto Networks firewalls, F5 or Citrix load balancing, SD-WAN, IPsec VPNs, and large-scale network segmentation architectures (preferred).
Design or deployment background with AI/HPC networking, including NVIDIA Spectrum-X, RoCEv2, RDMA, lossless Ethernet, or native InfiniBand fabrics (preferred).