Forward Deployed Engineer – Principal
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Job Description
Principal Forward Deployed Engineer modernizing enterprise Kubernetes, infrastructure, and AI platforms for Broadcom's complex enterprise customers. Leading migrations, production code contributions, and roadmap influence.
Responsibilities:
- Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division
- Embed with major enterprise accounts during platform modernizations, bare-metal replatforming, stateful workload migrations, and AI inferencing deployments
- Bridge core engineering, product management, executive leadership, and C-level enterprise customer architects
- Architect, scale, and validate production-grade VKS and VCF topologies for mission-critical and regulated deployments
- Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtime frameworks across GPU clusters
- Lead end-to-end migration strategies from legacy bare-metal systems and AI workloads to cloud-native Kubernetes targets
- Engineer prototype integrations, write production operators/CRDs, and upstream contributions into core ISG codebases
- Translate customer pain points and field patterns into product requirements and roadmap priorities
- Establish technical patterns for containerizing, tuning, and orchestrating distributed systems, data platforms, and AI engines
- Define cross-platform integration strategies across competing enterprise distributions
- Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns across the FDE organization
- Mentor Senior and Staff FDEs
Requirements:
- 10+ years of software engineering experience with 5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale
- Proven ability to command technical credibility with C-suite stakeholders while remaining deeply hands-on in production code
- Authority-level mastery of Kubernetes internal mechanics, Custom Resource Definitions (CRDs), Kubernetes Operators, Cluster API (CAPI), and GitOps architecture (ArgoCD, Flux)
- Extensive experience architecting high-throughput AI inferencing pipelines, virtualized GPU environments (NVIDIA vGPU, MIG, GPUDirect RDMA), model serving frameworks (vLLM, TGI, Triton), and distributed inference topologies
- Proven track record architecting and running high-throughput, low-latency stateful workloads on Kubernetes
- Deep experience migrating complex enterprise monoliths, mainframe/bare metal environments, and siloed AI hardware deployments to zero-downtime cloud-native pathways
- Hands-on experience developing in Go, Python, or Java for systems-level infrastructure, Kubernetes controllers, custom AI wrappers, or automation frameworks
- Comprehensive technical fluency across OpenShift, EKS, GKE, AKS, Rancher RKE/RKS, CSI/CNI, RDMA, InfiniBand, RoCEv2, and storage abstractions
- Bachelor's degree preferred; relevant years' experience in lieu of a degree may be considered
- 17+ years related experience required
Benefits:
- Discretionary annual bonus
- Competitive new hire equity grant
- Annual equity awards
- Medical plans
- Dental plans
- Vision plans
- 401(K) participation including company matching
- Employee Stock Purchase Program (ESPP)
- Employee Assistance Program (EAP)
- Company paid holidays
- Paid sick leave
- Vacation time
- Paid Family Leave and other leaves of absence according to applicable laws
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