5 hours ago
Base Salary
$270k - $402k/yr
Responsibilities
- Translate customer connectivity, isolation, access, and performance requirements into managed networking platform capabilities.
- Build Kubernetes-native automation for tenant and node network provisioning, scaling, repair, replacement, reassignment, and cleanup.
- Own BGP, routing policy, VLANs, overlays, ingress, egress, VIPs, load balancers, public IPs, and external connectivity across data center networks.
- Own Kubernetes networking for management and tenant clusters, including Cilium, network policy, service routing, and bare-metal integration.
- Automate GPU networking lifecycle operations for NVL72 systems, InfiniBand, RoCE, and GPUDirect.
- Manage dynamic address allocation, network inventory, tenant configuration, and integrations with IPAM and fabric-management systems.
- Define and verify tenant segmentation, traffic policies, management boundaries, and network security controls.
- Implement declarative configuration, continuous reconciliation, automated validation, staged rollouts, drift detection, and recovery procedures.
- Own network telemetry, troubleshooting, incident remediation, and reliability improvements across hosts, clusters, fabrics, and edge networks.
Requirements
- Deep production experience designing and operating data center networking services through deployment, expansion, maintenance, and incidents.
- Strong knowledge of TCP/IP, BGP, routing policy, peering, ECMP, segmentation, interconnects, packet paths, and network failure behavior.
- Experience with leaf-spine fabrics, underlay and overlay networks, VLANs, VRFs, and EVPN/VXLAN for tenant separation.
- Practical Kubernetes and Linux networking experience, including CNI behavior, Cilium or comparable systems, network policy, and service exposure.
- Experience building Kubernetes controllers, operators, and custom resources in Go, including reconciliation loops that handle retries, partial failures, and cleanup.
- Experience with network automation, GitOps-style configuration management, version control, code review, automated testing, and controlled rollouts.
- Experience delivering multitenant infrastructure or managed Kubernetes networking products, including onboarding, provisioning, upgrades, scaling, and production support.
- Experience securing networks carrying customer workloads and testing tenant isolation, management boundaries, and traffic controls.
- Experience with fabric-management and IPAM systems such as Netris, UFM, and NetBox or comparable tools.
- Experience with NVIDIA GPU infrastructure and AI networking, including InfiniBand, Spectrum-X, NVL72 systems, RDMA, RoCE, and congestion control.
- Experience networking large GPU clusters, including distributed workload performance, high-bandwidth east-west traffic, and multi-site connectivity.
- Ability to translate customer requirements into reliable, supportable networking capabilities with defined behavior and operational procedures.
Benefits
- The stated U.S. total cash salary range is $270,400-$401,600 and includes potential bonus value, with placement based on location, experience, skills, and internal compensation standards.
- International compensation varies according to local market conditions.
- Groq offers a Long-Term Incentive Program and a robust suite of employee benefits.
Tech Stack
Categories
About Groq
Groq designs and operates AI inference hardware and cloud services built around its LPU architecture, aimed at developers and enterprises running large language models and other ML workloads. It generates revenue by selling processors and offering pay-as-you-go inference through its hosted platform and APIs. Founded in 2016 and headquartered in Mountain View, California, the company is privately held.