Forward Deployed Engineer – Staff

Broadcom

Staff Forward Deployed Engineer modernizing Kubernetes, data platforms, and AI infrastructure for Broadcom enterprise clients. Deploying VKS, migrating stateful workloads, and writing production code alongside customers.

Posted 9/4/2026full-timeRemote • California, Colorado, New York, North Carolina, Tennessee, Texas • 🇺🇸 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 optimizing performance and addressing customer needs. Proven ability to lead complex engineering projects and translate technical requirements into actionable product features.

Highest-signal resume keywords

Kubernetes ExpertiseGPU-Accelerated Kubernetes OperationsTerraform and Helm ProficiencyContainerization and Distributed SystemsCustomer Engagement and Technical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesVKSTerraformHelmGPU OperationsContainerizationDistributed CachingAI InferenceOpenShiftCloud-Native Deployments

Soft Skills

Customer EngagementTechnical LeadershipCollaborationProblem Solving

Tools & Technologies

Triton Inference ServerVLLMMilvusQdrantPgvectorRayKubeRayArgoCDFlux

Industry Keywords

Infrastructure SoftwareCloud FoundationHybrid CloudData ProcessingOrchestrationAI Frameworks

Tech Stack

Tools & technologies

CloudFluxKubernetesOpenShiftRayTerraformVMware

About the role

Key responsibilities & impact

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

What you’ll need

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

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 and vacation time
Paid Family Leave and other leaves of absence according to applicable laws