Staff / Sr. Staff Networking Platform Engineer, Infrastructure
Groq · Dallas, United States · San Francisco, United States · New York, United States
Infrastructureonsitestaff
At a glance
Highlights
- Own end-to-end networking for a global AI inference cloud built from silicon up.
- Turn customer connectivity and isolation needs into reliable platform capabilities.
- Ensure tenant boundaries stay enforced through failures and network changes.
Ideal candidate
A data-center network owner who thrives on production ownership and deep packet-level understanding. You care about reliable tenant isolation and turning complex connectivity needs into simple platform behavior.
Requirements
- Deep data center and Kubernetes networking experience
- Own network architecture, configuration, security and production operations
- Experience with BGP, routing policy, VLANs and overlays across fabrics
- Experience with Kubernetes networking including Cilium, policy and ingress/egress
- Experience automating GPU networking including InfiniBand, RoCE and GPUDirect
- Experience with IPAM, NetBox and fabric-manager APIs for inventory management
- remote policy
- Remote flexibility while local office is established, then transition to onsite
Lab profile
About Groq
Built LPU silicon and cloud platform delivering world's fastest AI inference at scale.
What they build
- LPU AI inference processor
- GroqCloud inference platform
Known for
- World's fastest inference at scale
- Purpose-built silicon for AI inference
- Silicon-to-cloud production infrastructure
Key facts
- Founded in 2016
- Headquartered in Mountain View, California
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