Hiring: Forward Deployed Engineer (Staff) Company: Broadcom Location: Queens County, NY Job Posted Time: 2026-09-11 13:07:09 Employment Type: Hybrid Target Skills & Keywords : Airflow, Apache, ArgoCD, Azure, Cassandra, Cloud Native, Dagster, EKS, Elasticsearch, Embedded Systems, Flink, GitOps, HDFS, Hadoop, Helm, Infrastructure as Code, Kafka, Kubernetes, Milvus, OpenSearch, OpenShift, Prefect, Pulsar, Qdrant, R, RAG, RabbitMQ, Rancher, Red Hat, Redis, Spark, Terraform, Triton, pgvector, vLLM, yarn About the job Experience: •12+ years related experience required Required Skills: •Reduce customer adoption friction, dramatically shorten software iteration cycles, and establish a high bandwidth, direct feedback loop between real world enterprise deployments and product development. •Direct Engineering to Field Collaboration: Act as an embedded engineering liaison across the Infrastructure Software Division, working directly with core software architects, product managers, and enterprise client developers to eliminate deployment friction. •Rapid Iteration & Friction Reduction: Identify recurring migration blockers and platform usability gaps in real world customer environments, rapidly building and testing field fixes to shorten feature iteration cycles from months to days. •End to End Engagement Ownership: Stay actively embedded with customer technical teams from pre migration discovery through go live and operational stabilization, ensuring successful platform adoption and high customer trust. •Hands on Field Implementation & Troubleshooting: Work shoulder to shoulder with client engineers in production environments to write code, build manifests, debug live networking/storage/GPU failures, and optimize VKS performance. •Engineering Feedback Loop & Feature Prioritization: Synthesize field tested code, architectural patterns, and customer pain points directly into core engineering requirements. Partner with product managers and core engineers to translate customer contributions into prioritized platform features. •VKS & AI Infrastructure Architecture: Architect, deploy, and maintain production grade vSphere Kubernetes Service (VKS) clusters across VMware Cloud Foundation (VCF) and hybrid cloud infrastructure, optimized for both general purpose compute and accelerated GPU/NPU workloads. •Bare Metal & Legacy Platform Migration: Lead technical migration strategies transitioning enterprise platforms, massive bare metal environments, and legacy data stacks over to VKS or cloud native Kubernetes targets. Qualifications: •Engineering Mindset & Organizational Fit: Deep alignment with product engineering workflows; experience functioning within or closely alongside core software/R&D divisions rather than pure IT or professional services. •Full Lifecycle Engagement Experience: Proven track record of staying deeply engaged with customer technical leadership and developers across long term, complex engineering projects. •Product Minded Engineering: Demonstrated ability to translate raw technical customer requirements and field workarounds into clean product specifications and feature requests for core development teams. •AI & Accelerated Compute Infrastructure: Hands on experience operating GPU accelerated Kubernetes nodes, model serving runtimes (vLLM, TGI, Triton Inference Server), vector databases (Milvus, Qdrant, Pgvector), and distributed AI orchestration (Ray, KubeRay). •Distributed Systems & Stateful Workloads: Hands on experience containerizing and operating high throughput/low latency platforms:Distributed Caching & In Memory Grids: Redis, Oracle Coherence, Hazelcast •Compute & Analytics Engines: Risk calculation platforms, Hadoop (HDFS/YARN) •Messaging & Streaming: Apache Kafka, RabbitMQ, Pulsar •Batch, Real Time & AI Processing: Ray, vLLM, Apache Spark, Apache Flink, Dask •Orchestration & Workflow: Apache Airflow, Prefect, Dagster, Argo Workflows •Query, NoSQL & Vector Engines: Trino/Presto, Apache Cassandra / ScyllaDB, Elasticsearch / OpenSearch, Milvus, Qdrant 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!