Forward Deployed Engineer – Staff

Broadcom

Staff Forward Deployed Engineer modernizing Kubernetes, AI infrastructure, and enterprise platforms for Broadcom. Embedding with enterprise clients to migrate workloads, troubleshoot production systems, and shape core engineering products.

Posted 9/10/2026full-timeRemote • New Jersey, New York • 🇺🇸 United StatesLead💰 $110,800 - $177,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting, deploying, and maintaining production-grade VKS clusters and Kubernetes environments, with a strong focus on AI inferencing workloads and distributed data services. Proven ability to engage with technical leadership and translate customer requirements into actionable product features.

Highest-signal resume keywords

Kubernetes ExpertiseAI Inferencing WorkloadsGPU-Accelerated NodesContainerization and MigrationTerraform and Helm Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesAI EnginesContainerizationGPU AccelerationDistributed CachingModel Serving RuntimesData Processing OrchestrationTerraformHelmGitOps

Soft Skills

Customer EngagementTechnical TranslationCollaboration

Tools & Technologies

NVIDIA vGPUOpenShiftEKSGKEAKSRancherMilvusQdrantPgvectorRay

Industry Keywords

Infrastructure SoftwareCloud-NativeMigration StrategiesEnterprise PlatformsDistributed AI

Tech Stack

Tools & technologies

CloudFluxKubernetesOpenShiftRayTerraformVMware

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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