Groq
Sr./Staff Network Design Engineer, AI/HPC
$270K–$402K
San Francisco, United States +2 · On-site · Staff · Full-time · Posted Sep 15, 2026
- Location
- San Francisco, United States
Dallas, United States
New York, United States - Experience
- 8+ years in network engineering, architecture, or infrastructure engineering.
- Visa sponsorship
- Candidates must qualify as U.S. Persons for export control purposes (U.S. citizen, U.S. lawful permanent resident, or protected individual), or otherwise be eligible for an applicable export license.
About the job
Architects, validates, and evolves scalable data-center and AI/HPC network infrastructure, from design through production deployment.
What you'll do
- Translate compute, workload, scale, and tenancy requirements into production-ready network architectures; design spine-leaf/Clos fabrics and related connectivity.
- Validate designs and failure behavior, establish network standards, and develop automation, testing, and observability capabilities.
- Lead architecture reviews and collaborate with compute, software, data-center, and operations teams; mentor engineers.
What they ask for
- 8+ years of experience in network engineering, architecture, or infrastructure engineering, including significant large-scale data-center network design.
- Deep understanding of TCP/IP, BGP, modern data-center routing, and leaf-spine/Clos fabrics.
- Experience with EVPN/VXLAN, ECMP, network resiliency, and high-bandwidth Ethernet (100G, 400G, or higher).
- Experience with network automation and software development using Python and APIs.
Nice to have
- Experience with AI/ML clusters, HPC, distributed computing, or large GPU/accelerator deployments; knowledge of RDMA, PFC, ECN, and lossless or near-lossless Ethernet.
- Experience with InfiniBand/RoCE/Spectrum-X, SONiC, multi-site data centers, or cloud networking.
Pay
$270,400 - $365,800 USD total cash salary (Staff; inclusive of potential bonus value); $341,400 - $401,600 USD total cash salary (Sr. Staff; inclusive of potential bonus value)
Tools
BGP, EVPN, VXLAN, ECMP, IPv4/IPv6, Python, Ansible, Git
AI focus
Designs network infrastructure for AI training and inference workloads, including high-performance AI/HPC clusters and distributed compute.
Model-written summary · the original posting is authoritative