Forward Deployed Engineer – Staff

🕒 September 10

🏖️ New Jersey, New York – Remote

🏖️ New Jersey – Remote 🗽 New York – Remote

💵 $110.8k - $177.3k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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, core software architects, product managers, and enterprise client developers • Identify migration blockers and platform usability gaps, rapidly building and testing 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 in production environments • 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, bare-metal environments, and legacy data stacks to VKS or cloud-native Kubernetes • Deploy, tune, and scale AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes using NVIDIA vGPU and MIG • Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes • Architect cloud-native deployments for data processing, orchestration, and distributed AI frameworks • Guide clients operating VKS alongside OpenShift, EKS, GKE, AKS, and Rancher distributions

🎯 Requirements

• 12+ years related experience required • Bachelor's degree preferred • Relevant years' experience in lieu of a degree may be considered • Deep alignment with product engineering workflows; experience within or alongside core software/R&D divisions rather than pure IT or professional services • Proven experience staying engaged with customer technical leadership and developers across long-term, complex engineering projects • Ability to translate technical customer requirements and field workarounds into 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 • Experience containerizing and operating distributed caching, in-memory grids, compute/analytics engines, messaging/streaming platforms, and stateful workloads • 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 tools including ArgoCD and 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 • Vacation time • Paid Family Leave and other leaves of absence in accordance with applicable laws