Forward Deployed Engineer (Principal)
AI summary of the role
Principal Forward Deployed Engineer serving as a senior R&D extension in the field across Broadcom’s Infrastructure Software Division.
What you’ll do
- Architect and validate VKS and VCF platforms for mission-critical enterprise deployments
- Design production LLM inferencing, RAG, and distributed AI systems on GPU clusters
- Lead migrations from bare metal, legacy, and fragmented AI environments to Kubernetes
- Write field-proven operators and integrations and upstream them into core engineering codebases
What you’ll bring
- 17+ years of related experience, including 10+ years in software engineering and 5+ years with large-scale infrastructure, distributed systems, AI platforms, or Kubernetes
- Expertise in Kubernetes internals, CRDs, Operators, CAPI, and GitOps with ArgoCD or Flux
- Experience with high-throughput AI inference, NVIDIA GPU virtualization, and model serving frameworks
- Track record running stateful distributed workloads and executing legacy-to-cloud-native migrations
Technologies
Kubernetes · vSphere Kubernetes Service (VKS) · VMware Cloud Foundation (VCF) · Kubernetes Operators · Cluster API (CAPI) · ArgoCD · NVIDIA vGPU · vLLM · Apache Kafka · Milvus
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