出海雷达

前线部署工程师(首席)

Forward Deployed Engineer (Principal)

AI开发工程限定地区(需当地身份)
公司Broadcom
薪资$132,200 - $211,500/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间13 天前
数据来源Himalayas
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职位描述:
职位描述

我们正在寻找一位高级现场部署工程师(首席工程师),作为基础设施软件事业部(ISG)的精英技术权威、企业战略家和现场工程领导者。在这个高影响力的角色中,您将在关键平台现代化、裸金属迁移、大规模有状态工作负载迁移和关键任务AI推理部署期间,与我们最大的、最复杂的企事业客户紧密合作。
作为核心工程组织的首席成员,您将处于企业架构、实际生产代码和长期产品战略的交汇点。您将解决高风险环境中的系统性架构障碍,编写参考实现,并直接影响我们核心基础设施和AI平台软件的多年技术路线图。
与传统的售前、专业服务或售后支持角色不同,首席FDE是研发团队在前线的高级延伸。您的使命是大规模消除企业采用的阻力,为现代工作负载(包括分布式AI模型)建立可重复的部署模式,并建立高带宽的反馈循环,将现场创新直接转化为核心软件功能。

主要职责

  • 部门现场到工程领导:作为核心工程、产品管理执行领导和企业客户架构师之间的主要技术权威。
  • 战略架构与参考设计:为高影响、关键任务和高度监管的部署设计、扩展和验证生产级vSphere Kubernetes服务(VKS)和VMware云基础架构(VCF)拓扑结构。
  • 企业AI与分布式推理加速:在高密度GPU集群上设计和部署实时LLM推理系统、检索增强生成(RAG)流水线和分布式AI运行时框架。
  • 大规模迁移策略:主导端到端技术迁移策略,将庞大的遗留裸金属系统、风险计算平台、重状态引擎和碎片化AI工作负载迁移到统一的云原生环境。
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Job Description:
Position Description

We are seeking aForward Deployed Engineer (Principal) to serve as an elite technical authority, enterprise strategist, and field to engineering leader across the Infrastructure Software Division (ISG). In this high impact role, you will embed with our largest, most complex enterprise accounts during critical platform modernizations, bare metal re platforming, large scale stateful workload migrations, and mission critical AI inferencing deployments.
As a Principal member of the core Engineering organization, you will operate at the intersection of enterprise architecture, hands on production code, and long term product strategy. You will tackle systemic architecture blockers in high stakes environments, author reference implementations, and directly influence the multi year technical roadmap of our core infrastructure and AI platform software.
Unlike traditional pre sales, professional services, or post sales support roles, the Principal FDE functions as a senior extension of R&D in the field. Your mission is to eliminate enterprise adoption friction at scale, codify repeatable deployment patterns for modern workloads (including distributed AI models), and establish a high bandwidth feedback loop that turns field innovations directly into core software capabilities.
Key Responsibilities

  • Divisional Field to Engineering Leadership: Act as the primary technical authority bridging core engineering, product management executive leadership, and C level enterprise customer architects.
  • Strategic Architecture & Reference Design: Architect, scale, and validate production grade vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) topologies for high consequence, mission critical, and highly regulated deployments.
  • Enterprise AI & Distributed Inferencing Acceleration: Design and deploy production systems for real time LLM inferencing, Retrieval Augmented Generation (RAG) pipelines, and distributed AI runtime frameworks across high density GPU clusters.
  • Large Scale Migration Strategy: Lead end to end technical migration strategies transitioning massive legacy bare metal systems, risk calculation platforms, heavy stateful engines, and fragmented AI workloads to unified cloud native Kubernetes targets.
  • Mission Critical Problem Solving & Code Contribution: Directly engineer high value prototype integrations, write production operators/CRDs in the field to unblock strategic accounts, and upstream those contributions directly into core ISG codebases.
  • Product Strategy & Roadmap Influence: Systematically synthesize complex customer pain points, field workarounds, and architectural patterns into concrete product requirements. Partner with VP/Director level Product Managers to prioritize features that shorten software iteration cycles from months to days across the global product suite.
  • Complex Stateful & AI Data Fabric: Set technical patterns for containerizing, tuning, and orchestrating heavy distributed systems, including streaming platforms (Kafka, Pulsar), vector databases (Milvus, Qdrant), in memory grids (Coherence, Redis), and advanced AI data/compute engines (Ray, vLLM, Spark, Flink).
  • Multi Cloud & Competitive Interoperability: Define cross platform integration strategies for clients operating mixed environments across competing distributions (Red Hat OpenShift, EKS, GKE, AKS, Rancher).
  • Technical Mentorship & Practice Building: Establish best in class deployment standards, GitOps frameworks, and CAPI/Operator patterns across the broader FDE organization; mentor Senior and Staff FDEs to elevate team wide execution capabilities.

Key Qualifications

  • Principal Level Engineering Stature: 10+ years of software engineering experience with 5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale. Demonstrated alignment with core R&D/Product Engineering organizations.
  • Strategic Customer Authority: Proven ability to command technical credibility with C suite stakeholders (CTOs, VP of Infra, Chief AI Officers) while remaining deeply hands on in production code with staff level customer engineers.
  • Deep Kubernetes & Cloud Native Primitives: Authority level mastery of Kubernetes internal mechanics, Custom Resource Definitions (CRDs), Kubernetes Operators, Cluster API (CAPI), and GitOps architecture (ArgoCD, Flux).
  • AI & GPU Infrastructure Fluency: Extensive experience architecting high throughput AI inferencing pipelines, virtualized GPU environments (NVIDIA vGPU, MIG, GPUDirect RDMA), model serving frameworks (vLLM, TGI, Triton), and distributed inference topologies.
  • Distributed Stateful Systems Expertise: Proven track record architecting and running high throughput, low latency stateful workloads on Kubernetes:AI Serving & Distributed Compute: Ray, vLLM, SGLang, LeaderWorkerSets (LWS), vLLM-Orchestrator.Vector & NoSQL Databases: Milvus, Qdrant, Pinecone, Apache Cassandra, ScyllaDB.In Memory & Caching: Oracle Coherence, Hazelcast, Redis, Apache Ignite.Messaging & Streaming: Apache Kafka, RabbitMQ, Pulsar.Data & Analytics Engines: Apache Spark, Apache Flink, Dask, Trino/Presto.
  • Legacy to Cloud Native Migration Track Record:Deep experience untangling complex enterprise monoliths, mainframe/bare metal environments, and siloed AI hardware deployments to construct seamless zero downtime migration pathways.
  • Systems & Platform Code Proficiency: Hands on experience developing in Go, Python, or Java for systems level infrastructure, Kubernetes controllers, custom AI wrappers, or automation frameworks.
  • Cross Distribution Architecture:Comprehensive technical fluency across competing enterprise distributions (OpenShift, EKS, GKE, AKS, Rancher RKE/RKS) and their underlying networking (CSI/CNI, RDMA, InfiniBand, RoCEv2) and storage abstractions.

Experience/Education:
Bachelor's degree preferred. Relevant year's experience in lieu of a degree may be considered.
17+ years related experience required

Compensation and Benefits

The annual base salary range for this position is USD 132,200.00 To USD 211,500.00

As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.

Broadcom offers a competitive and comprehensive benefits package: 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. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.
Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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