Principal Forward Deployed Engineer

🔥 23 hours ago

🏄 California, Colorado, +4 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $132.2k - $211.5k / year

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

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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

• 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

• 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

• 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