Staff / Sr. Staff Networking Platform Engineer, Infrastructure

The posting, as Groq wrote it

About Groq
Inference is the engine that powers AI, and Groq was built from the silicon up to deliver the world's fastest inference at scale. We pioneered the LPU—the first processor designed specifically for AI inference—and are transforming that innovation into a global cloud platform powering production AI workloads.

With the capital, infrastructure, and team to execute, we're uniquely positioned to define the next era of AI infrastructure. The opportunity is massive, and it's still wide open. Now let's go build it!

Mission
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.

Location: This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area . The person hired for this role must be based in one of these three areas. You’ll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens.

Responsibilities & opportunities in this role

• 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, networ

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ied individuals with physical or mental disabilities. If you require a reasonable accommodation to complete an application or to participate in the hiring process, please contact us at talent@groq.com . This contact is for accommodation requests only, which will be considered on a case-by-case basis.

All offers of employment are contingent upon verification of the applicant’s identity and employment authorization in accordance with federal law.

Groq encourages people with criminal record histories to apply for employment, and values diverse experiences, including prior contact with the criminal legal system. To that end, Groq welcomes such applicants in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: https://www.phila.gov/documents/fair-chance-hiring-law-poster .

As part of our hiring process, Groq may use artificial intelligence (“AI”) tools or automated systems to assist with activities such as reviewing applications, evaluating qualifications, scheduling interviews, analyzing assessment responses, or supporting recruiting operations. These tools are designed to assist—not replace—human decision-making, and hiring decisions are subject to human review. We may process information you provide during the application process, including resumes, application materials, interview responses, assessments, and, where applicable, audio, video, or transcript data. If legally required, we will request consent before using technologies that analyze biometric or video interview data. Candidates may request reasonable accommodations, an alternative evaluation process, additional information regarding the use of AI in the hiring process, or review of certain automated decisions by contacting ta-operations@groq.com.