Staff / Senior Staff Networking Platform Engineer, Groq
Infrastructure
$270.4-401.6k
OTE
+ Bonus
Kubernetes
Go
Drift
Senior and Expert level
New York
San Francisco Bay Area
AI semiconductor chip manufacturer
Be an early applicant
AI semiconductor chip manufacturer
201-500 employees
B2BArtificial IntelligenceManufacturingMachine Learning
Be an early applicant
$270.4-401.6k
OTE
+ Bonus
Kubernetes
Go
Drift
Senior and Expert level
New York
San Francisco Bay Area
201-500 employees
B2BArtificial IntelligenceManufacturingMachine Learning
Company mission
To increase developer velocity in machine learning by leading the way with simple, fast, innovative solutions.
Role
Who you are
- Networking product capabilities: Translate customer connectivity, isolation, access, and performance requirements into supported platform features. Define how those features are requested, provisioned, changed, observed, and removed throughout their lifecycle
- Tenant and node network lifecycle: Build Kubernetes-native automation to create, modify, and remove tenant networks and manage node membership through provisioning, scaling, repair, replacement, and reassignment. Verify isolation and connectivity at each transition, recover safely from partial failures, and remove stale configuration before resources are reassigned
- Data center routing and connectivity: Own dynamic configuration of tenant networks, BGP, routing policy, VLANs, and overlays across management, tenant, and external networks. Build Kubernetes-native automation to provision and manage these capabilities through fabric-manager APIs, including customer service exposure, ingress/egress, VIPs, load balancers, and public IPs. Validate convergence, failover, reachability, and isolation
- Kubernetes networking: Own networking for the Groq management plane and tenant clusters, including Cilium, network policy, service routing, ingress, egress, and integration with bare-metal networks
- GPU networking: Automate tenant configuration and lifecycle operations for GPU networking, including NVL72 systems, InfiniBand, RoCE, and GPUDirect, through supported platform and fabric-management interfaces. Validate connectivity, isolation, and performance as tenant allocations and node membership change
- Addressing and fabric integration: Own dynamic address allocation, network inventory integration, and tenant network configuration through IPAM, NetBox, and fabric-manager APIs such as Netris and UFM. Keep intended configuration, applied state, and inventory consistent throughout the tenant and node lifecycle
- Tenant isolation and network security: Own segmentation and traffic policy across the Groq management plane, tenant clusters, and physical fabrics. Define permitted communication between environments and verify isolation through provisioning, scaling, maintenance, and hardware reassignment. Work with security engineering on network access controls and hardening requirements
- Network standards and configuration lifecycle: Establish addressing, routing, and configuration standards for GroqMetal’s management plane and tenant networks. Implement declarative configuration and continuous reconciliation through Kubernetes-native controllers, fabric-manager APIs, and GitOps, with code review, automated testing and validation, staged rollout, and recovery procedures. Detect and reconcile configuration drift, and maintain tenant isolation as nodes enter, leave, or return to tenant networks during provisioning, repair, and reassignment
- Production network reliability: Own network telemetry, troubleshooting, and incident remediation. Diagnose packet loss, routing failures, congestion, and unexpected traffic across hosts, clusters, fabrics, and the edge. Turn recurring incidents and performance findings into prioritized improvements to the managed service
What the job involves
- We’re looking for a network engineer with deep data center and Kubernetes networking experience to own networking across GroqMetal’s management plane and tenant clusters
- You will own network architecture, configuration, security, and production operations—from host and cluster networking through data center fabrics to edge peering and interconnects. You’ll manage changes through fabric managers, automation, and GitOps, backed by a detailed understanding of the protocols, packet paths, and failure behavior underneath them
- You’ll turn customer connectivity, isolation, and performance requirements into managed platform capabilities. Success means customers can provision and use networking reliably, tenant boundaries are demonstrably enforced, and network changes and failures can be diagnosed and resolved without reconstructing the system by hand
- Networking product capabilities: Translate customer connectivity, isolation, access, and performance requirements into supported platform features. Define how those features are requested, provisioned, changed, observed, and removed throughout their lifecycle
- Tenant and node network lifecycle: Build Kubernetes-native automation to create, modify, and remove tenant networks and manage node membership through provisioning, scaling, repair, replacement, and reassignment. Verify isolation and connectivity at each transition, recover safely from partial failures, and remove stale configuration before resources are reassigned
- Data center routing and connectivity: Own dynamic configuration of tenant networks, BGP, routing policy, VLANs, and overlays across management, tenant, and external networks. Build Kubernetes-native automation to provision and manage these capabilities through fabric-manager APIs, including customer service exposure, ingress/egress, VIPs, load balancers, and public IPs. Validate convergence, failover, reachability, and isolation
- Kubernetes networking: Own networking for the Groq management plane and tenant clusters, including Cilium, network policy, service routing, ingress, egress, and integration with bare-metal networks
- GPU networking: Automate tenant configuration and lifecycle operations for GPU networking, including NVL72 systems, InfiniBand, RoCE, and GPUDirect, through supported platform and fabric-management interfaces. Validate connectivity, isolation, and performance as tenant allocations and node membership change
- Addressing and fabric integration: Own dynamic address allocation, network inventory integration, and tenant network configuration through IPAM, NetBox, and fabric-manager APIs such as Netris and UFM. Keep intended configuration, applied state, and inventory consistent throughout the tenant and node lifecycle
- Tenant isolation and network security: Own segmentation and traffic policy across the Groq management plane, tenant clusters, and physical fabrics. Define permitted communication between environments and verify isolation through provisioning, scaling, maintenance, and hardware reassignment. Work with security engineering on network access controls and hardening requirements
- Network standards and configuration lifecycle: Establish addressing, routing, and configuration standards for GroqMetal’s management plane and tenant networks. Implement declarative configuration and continuous reconciliation through Kubernetes-native controllers, fabric-manager APIs, and GitOps, with code review, automated testing and validation, staged rollout, and recovery procedures. Detect and reconcile configuration drift, and maintain tenant isolation as nodes enter, leave, or return to tenant networks during provisioning, repair, and reassignment
- Production network reliability: Own network telemetry, troubleshooting, and incident remediation. Diagnose packet loss, routing failures, congestion, and unexpected traffic across hosts, clusters, fabrics, and the edge. Turn recurring incidents and performance findings into prioritized improvements to the managed service
Our take
Groq is an exciting semiconductor startup focused on creating advanced chips designed specifically for AI applications. It emerged as a challenger to Nvidia's dominance, by focusing on speed and efficiency for AI deployment.
While Nvidia's GPUs handle both training and running AI models, Groq's LPUs are optimized for inference tasks. This is the execution phase of AI, where outputs are generated after the model is trained. This sharp focus enabled Groq to generate both interest and investment, which has fuelled scaling and deployment efforts.
Playing a significant role in the AI chip market, Groq has partnered with companies like Meta and Samsung, as well as sovereign entities like Saudi Aramco. In 2025, it entered into a non-exclusive licensing agreement with Nvidia, which demonstrates the regard in which its technology is held. It also raised substantial new funding in 2026 which supports its continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Top investors
-19% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2026
$650m
GROWTH EQUITY VC
Sep 2025
$750m
LATE VC
Total funding: $2.5bn
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Adam Winter
(Interim CEO)Joined the company as VP/GM in 2024, taking up this interim position in 2026. Previously, Adam was SVP then Advisor at Safe Security, and co-founded ThreeCS. They have also invested in and advised at other startups.
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