Principal Forward Deployed Engineer

Broadcom

Principal Forward Deployed Engineer modernizing enterprise Kubernetes, infrastructure, and AI platforms for Broadcom’s largest accounts. Driving migrations, production integrations, and engineering roadmap influence.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in architecting and deploying high-throughput AI inferencing pipelines and distributed systems on Kubernetes, while effectively bridging technical and executive teams to drive enterprise-level solutions. Proven ability to mentor and lead engineering teams in modernizing infrastructure and optimizing cloud-native deployments.

Highest-signal resume keywords

Kubernetes ArchitectureAI Inferencing PipelinesCloud-Native MigrationGo ProgrammingTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDistributed SystemsKubernetes OperatorsCRDsGitOps ArchitectureAI PlatformsProduction Code DevelopmentHigh-Throughput WorkloadsModel Serving FrameworksAutomation Frameworks

Soft Skills

Technical CredibilityMentoringCross-Functional Collaboration

Tools & Technologies

OpenShiftEKSGKEAKSRancher RKE/RKSArgoCDFluxCSI/CNIRDMAInfiniBand

Industry Keywords

Infrastructure SoftwareEnterprise StrategyCloud-Native PlatformsProduction SystemsDeployment Standards

Tech Stack

Tools & technologies

CloudDistributed SystemsFluxGoJavaKubernetesOpenShiftPython

About the role

Key responsibilities & impact

Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division
Embed with major enterprise accounts during platform modernizations, bare metal replatforming, stateful workload migrations, and AI inferencing deployments
Bridge core engineering, product management, executive leadership, and C-level enterprise customer architects
Architect, scale, and validate production-grade VKS and VCF topologies
Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtimes across GPU clusters
Lead end-to-end migration strategies from legacy bare metal systems and fragmented AI workloads to cloud-native Kubernetes targets
Engineer prototype integrations and write production operators/CRDs to unblock strategic accounts
Upstream field contributions into core ISG codebases
Translate customer pain points and field patterns into product requirements and influence the technical roadmap
Set technical patterns for containerizing, tuning, and orchestrating distributed systems, data platforms, and AI engines
Define cross-platform integration strategies across competing Kubernetes distributions
Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns
Mentor Senior and Staff FDEs and build broader FDE execution capabilities

Requirements

What you’ll need

10+ years of software engineering experience
5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale
Proven ability to command technical credibility with C-suite stakeholders while remaining hands-on in production code
Authority-level mastery of Kubernetes internal mechanics, CRDs, Kubernetes Operators, Cluster API (CAPI), and GitOps architecture (ArgoCD, Flux)
Extensive experience architecting high-throughput AI inferencing pipelines, virtualized GPU environments, model serving frameworks, and distributed inference topologies
Proven track record architecting and running high-throughput, low-latency stateful workloads on Kubernetes
Deep experience migrating complex enterprise monoliths, mainframe/bare metal environments, and siloed AI hardware deployments to cloud-native platforms
Hands-on experience developing in Go, Python, or Java for systems-level infrastructure, Kubernetes controllers, custom AI wrappers, or automation frameworks
Comprehensive technical fluency across OpenShift, EKS, GKE, AKS, Rancher RKE/RKS, CSI/CNI, RDMA, InfiniBand, RoCEv2, and storage abstractions
Bachelor's degree preferred; relevant years' experience in lieu of a degree may be considered
17+ years related experience required

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 according to applicable laws