Forward Deployed Engineer – Staff

Job not on LinkedIn

🔥 5 minutes ago

🏄 California, Colorado, +4 more states – Remote

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

💵 $110.8k - $177.3k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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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 with core software architects, product managers, and enterprise client developers to eliminate deployment friction • Identify migration blockers and platform usability gaps, and rapidly build and test field fixes • Own customer engagements from pre-migration discovery through go-live and operational stabilization • Write production 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 migrations from enterprise, bare-metal, and legacy platforms to VKS or cloud-native Kubernetes • Deploy, tune, and scale AI inferencing, RAG, vector search, and model-serving workloads on Kubernetes • Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and analytics platforms • Architect cloud-native deployments for modern data processing, orchestration, and distributed AI frameworks • Guide clients evaluating or operating VKS alongside competing Kubernetes distributions

🎯 Requirements

• Bachelor's degree preferred; relevant years of experience in lieu of a degree may be considered • 12+ years related experience required • Deep alignment with product engineering workflows and experience within or alongside core software/R&D divisions • Proven experience staying engaged with customer technical leadership and developers across long-term, complex engineering projects • Ability to translate customer requirements and field workarounds into product specifications and feature requests • Hands-on experience operating GPU-accelerated Kubernetes nodes • Experience with vLLM, TGI, Triton Inference Server, Milvus, Qdrant, Pgvector, Ray, and KubeRay • Experience containerizing and operating distributed caching, in-memory grids, compute and analytics engines, messaging and streaming platforms • Deep technical knowledge of containerized data services, AI engines, and orchestrators • Technical depth across OpenShift, EKS, GKE, AKS, or Rancher RKE/RKS • Advanced skills in Terraform, Helm, Kubernetes Operators (KPO), Cluster API (CAPI), and GitOps using ArgoCD or Flux

🏖️ Benefits

• Discretionary annual bonus • Competitive new hire equity grant • Annual equity awards • Medical, dental and vision plans • 401(K) participation including company matching • Employee Stock Purchase Program (ESPP) • Employee Assistance Program (EAP) • Company paid holidays • Paid sick leave and vacation time • Paid Family Leave and other leaves of absence according to applicable laws