Principal Forward Deployed Engineer

Broadcom

Principal Forward Deployed Engineer modernizing Broadcom enterprise infrastructure and AI platforms. Designing Kubernetes, GPU inferencing, migration, and distributed systems solutions for strategic accounts.

Posted 9/4/2026full-timeRemote • California, Colorado, New York, North Carolina, Tennessee, Texas • 🇺🇸 United StatesLead💰 $132,200 - $211,500 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 Kubernetes architectures, with a strong focus on cloud-native migration strategies and production-grade system design. Proven ability to engage with C-suite stakeholders while leading technical teams and mentoring senior engineers.

Highest-signal resume keywords

Kubernetes ArchitectureAI Inferencing PipelinesCloud-Native MigrationProduction System DesignTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesAI PlatformsGoPythonJavaCRDsGitOpsDistributed SystemsHigh-Throughput WorkloadsStateful Workloads

Soft Skills

Technical CredibilityMentoringCollaborationCommunication

Tools & Technologies

VSphere Kubernetes ServiceVMware Cloud FoundationArgoCDFluxRayApache KafkaRedisApache SparkMilvusApache Ignite

Industry Keywords

Infrastructure SoftwareCloud-Native PlatformsEnterprise ArchitectureAI Runtime FrameworksData Analytics Engines

Tech Stack

Tools & technologies

ApacheCassandraCloudDistributed SystemsFluxGoJavaKafkaKubernetesNoSQLOpenShiftOraclePulsarPythonRabbitMQRayRedisSparkVMware

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 large, complex 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 vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) topologies
Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtime frameworks across high-density GPU clusters
Lead end-to-end migration strategies for legacy bare-metal systems, risk calculation platforms, stateful engines, and AI workloads to cloud-native Kubernetes
Engineer prototype integrations and write production operators/CRDs in the field, upstreaming contributions into core ISG codebases
Synthesize customer pain points and field patterns into product requirements and partner with Product Managers on roadmap prioritization
Set technical patterns for containerizing, tuning, and orchestrating distributed systems, databases, streaming platforms, and AI data/compute engines
Define cross-platform integration strategies across competing Kubernetes and cloud distributions
Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns across the FDE organization
Mentor Senior and Staff FDEs

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
17+ years related experience required
Bachelor’s degree preferred; relevant years’ experience in lieu of a degree may be considered
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, including ArgoCD and 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 with AI serving and distributed compute technologies including Ray, vLLM, SGLang, LeaderWorkerSets (LWS), and vLLM-Orchestrator
Experience with vector and NoSQL databases including Milvus, Qdrant, Pinecone, Apache Cassandra, and ScyllaDB
Experience with in-memory and caching technologies including Oracle Coherence, Hazelcast, Redis, and Apache Ignite
Experience with messaging and streaming technologies including Apache Kafka, RabbitMQ, and Pulsar
Experience with data and analytics engines including Apache Spark, Apache Flink, Dask, and Trino/Presto
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
Technical fluency across OpenShift, EKS, GKE, AKS, Rancher RKE/RKS, and networking/storage abstractions including CSI/CNI, RDMA, InfiniBand, and RoCEv2

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