Hiring: Forward Deployed Engineer (Principal) Company: Broadcom Location: Greater Jacksonville, NC Area Job Posted Time: 2026-09-11 13:07:09 Target Skills & Keywords : Apache, ArgoCD, Cassandra, Cloud Native, EKS, Enterprise Architecture, Flink, GitOps, Java, Kafka, Kubernetes, LLM, Milvus, OpenShift, Pinecone, Product Management, Product Strategy, Pulsar, Python, Qdrant, R, RAG, RabbitMQ, Rancher, Red Hat, Redis, Spark, Triton, vLLM About the job Experience: •10+ years of software engineering experience with 5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale. Demonstrated alignment with core R&D/Product Engineering organizations. •17+ years related experience required Required Skills: •Divisional Field to Engineering Leadership: Act as the primary technical authority bridging core engineering, product management executive leadership, and C level enterprise customer architects. •Strategic Architecture & Reference Design: Architect, scale, and validate production grade vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) topologies for high consequence, mission critical, and highly regulated deployments. •Enterprise AI & Distributed Inferencing Acceleration: Design and deploy production systems for real time LLM inferencing, Retrieval Augmented Generation (RAG) pipelines, and distributed AI runtime frameworks across high density GPU clusters. •Large Scale Migration Strategy: Lead end to end technical migration strategies transitioning massive legacy bare metal systems, risk calculation platforms, heavy stateful engines, and fragmented AI workloads to unified cloud native Kubernetes targets. •Mission Critical Problem Solving & Code Contribution: Directly engineer high value prototype integrations, write production operators/CRDs in the field to unblock strategic accounts, and upstream those contributions directly into core ISG codebases. •Product Strategy & Roadmap Influence: Systematically synthesize complex customer pain points, field workarounds, and architectural patterns into concrete product requirements. Partner with VP/Director level Product Managers to prioritize features that shorten software iteration cycles from months to days across the global product suite. •Complex Stateful & AI Data Fabric: Set technical patterns for containerizing, tuning, and orchestrating heavy distributed systems, including streaming platforms (Kafka, Pulsar), vector databases (Milvus, Qdrant), in memory grids (Coherence, Redis), and advanced AI data/compute engines (Ray, vLLM, Spark, Flink). •Multi Cloud & Competitive Interoperability: Define cross platform integration strategies for clients operating mixed environments across competing distributions (Red Hat OpenShift, EKS, GKE, AKS, Rancher). Qualifications: •Principal Level Engineering Stature: 10+ years of software engineering experience with 5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale. Demonstrated alignment with core R&D/Product Engineering organizations. •Strategic Customer Authority: Proven ability to command technical credibility with C suite stakeholders (CTOs, VP of Infra, Chief AI Officers) while remaining deeply hands on in production code with staff level customer engineers. •Deep Kubernetes & Cloud Native Primitives: Authority level mastery of Kubernetes internal mechanics, Custom Resource Definitions (CRDs), Kubernetes Operators, Cluster API (CAPI), and GitOps architecture (ArgoCD, Flux). •AI & GPU Infrastructure Fluency: 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. •Distributed Stateful Systems Expertise: Proven track record architecting and running high throughput, low latency stateful workloads on Kubernetes: AI Serving & Distributed Compute: Ray, vLLM, SGLang, LeaderWorkerSets (LWS), vLLM-Orchestrator. •Vector & NoSQL Databases: Milvus, Qdrant, Pinecone, Apache Cassandra, ScyllaDB. •In Memory & Caching: Oracle Coherence, Hazelcast, Redis, Apache Ignite. •Messaging & Streaming: Apache Kafka, RabbitMQ, Pulsar. •Data & Analytics Engines: Apache Spark, Apache Flink, Dask, Trino/Presto. •Legacy to Cloud Native Migration Track Record: Deep experience untangling complex enterprise monoliths, mainframe/bare metal environments, and siloed AI hardware deployments to construct seamless zero downtime migration pathways. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!