Forward Deployed Engineer – Staff

🔥 0 minutes ago

⛰️ Colorado, New York, +3 more states – Remote

⛰️ Colorado – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $110.8k - $177.3k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Broadcom

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏭 Manufacturing

📦 Logistics

💼 Consulting

💰 Post-IPO Equity on 2017-10

Manufacturing • Logistics • Consulting

Broadcom is a global technology company that designs, develops, and supplies a broad range of semiconductor and infrastructure software solutions. The company serves the data center, networking, software, broadband, wireless, and storage and industrial markets. Broadcom is known for its innovative solutions in semiconductor and software businesses that enable the delivery of data and video content globally. Additionally, Broadcom is committed to maintaining privacy and accessibility standards in its digital interactions and customer service.

📋 Description

• Act as an embedded engineering liaison across the Infrastructure Software Division • Work directly with core software architects, product managers, and enterprise client developers to eliminate deployment friction • Identify recurring migration blockers and platform usability gaps in customer environments • Build and test field fixes to shorten feature iteration cycles • Own engagements from pre-migration discovery through go-live and operational stabilization • Work alongside client engineers in production environments • Write code, build manifests, debug live networking, storage, and GPU failures, and optimize VKS performance • Translate field-tested code, architectural patterns, and customer pain points into prioritized platform features • Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure • Lead migration strategies for enterprise platforms, massive bare-metal environments, and legacy data stacks to VKS or cloud-native Kubernetes • Deploy, tune, and scale production AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes • Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes • Architect operator-driven, cloud-native deployments for data processing, orchestration, and distributed AI frameworks • Guide clients evaluating or operating VKS alongside OpenShift, EKS, GKE, AKS, or Rancher distributions

🎯 Requirements

• 12+ years related experience required • Deep alignment with product engineering workflows • Experience functioning within or closely alongside core software/R&D divisions rather than pure IT or professional services • Proven track record of staying deeply engaged with customer technical leadership and developers across long term, complex engineering projects • Ability to translate raw technical customer requirements and field workarounds into clean product specifications and feature requests • Hands-on experience operating GPU accelerated Kubernetes nodes • Experience with model serving runtimes including vLLM, TGI, and Triton Inference Server • Experience with vector databases including Milvus, Qdrant, and Pgvector • Experience with distributed AI orchestration including Ray and KubeRay • Hands-on experience containerizing and operating high throughput/low latency platforms • Experience with Redis, Oracle Coherence, Hazelcast, Hadoop (HDFS/YARN), Apache Kafka, RabbitMQ, and Pulsar • Deep technical knowledge of containerized data services, AI engines, and orchestrators • Experience with Ray, vLLM, Apache Spark, Apache Flink, Dask, Apache Airflow, Prefect, Dagster, Argo Workflows, Trino/Presto, Apache Cassandra/ScyllaDB, Elasticsearch/OpenSearch, Milvus, and Qdrant • Technical depth across OpenShift, EKS, GKE, AKS, or Rancher RKE/RKS • Advanced skills in Terraform, Helm, Kubernetes Operators (KPO), Cluster API (CAPI), and GitOps tools including ArgoCD and Flux • Bachelor's degree preferred; relevant years of experience in lieu of a degree may be considered

🏖️ 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 in accordance with applicable laws