Principal Forward Deployed Engineer – AI & Developer Platform

About This Role

• We are seeking a Principal Forward Deployed Engineer to serve as a technical authority, enterprise developer advocate, 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 to revolutionize how internal and external developer teams build, deploy, and scale AI-native applications on our core infrastructure.
• As a Principal member of the core Engineering organization, you will operate at the intersection of Developer Experience (DevEx) , API Architecture , and LLM/AI Platform Engineering .
• You will eliminate enterprise developer friction, author developer-facing APIs, SDKs, and reference implementations, and directly influence the multi-year technical roadmap for our AI and cloud-native software suite.
• Unlike traditional pre-sales or post-sales roles, the Principal FDE functions as a senior extension of R&D in the field.
• Your mission is to establish world-class developer workflows, standardize LLM application delivery patterns, and build a high-bandwidth feedback loop that turns field innovations into platform features.
• Key Responsibilities Developer Experience (DevEx) & API Leadership Divisional Field-to-Engineering Authority: Serve as the primary technical bridge between customer application developers, platform engineering teams, product managers, and C-level executive architects.
• API & SDK Architecture: Design, validate, and standardize enterprise-grade REST, gRPC, and GraphQL APIs, custom Kubernetes Custom Resource Definitions (CRDs), and software development kits (SDKs) to streamline platform consumption.
• Developer Workflows & GitOps: Establish end-to-end continuous delivery pipelines, GitOps patterns (ArgoCD, Flux), and self-service developer portals to accelerate software iteration cycles from months to minutes.
• Developer Advocacy & Tooling: Build developer CLI tools, testing harnesses, and automation frameworks to reduce cognitive load for internal application teams adopting our vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) platforms.
• AI Engineering & LLM Platform Architecture LLM Application Infrastructure: Architect production-ready environments for real-time LLM inferencing, Agentic frameworks, and Retrieval-Augmented Generation (RAG) pipelines on high-density GPU clusters.
• AI Developer Tooling & APIs: Standardize integration patterns for developer-facing AI frameworks (LangChain, LlamaIndex, AutoGen, vLLM) and expose clean, enterprise-compliant API gateways for model serving.
• Distributed AI Compute & Data Fabrics: Set technical execution patterns for containerizing, orchestrating, and tuning high-throughput AI runtime engines (Ray, vLLM, SGLang, Spark) alongside vector databases and caching layers.
• Code Contribution & Strategy Hands-on Production Engineering: Write production Go, Python, and TypeScript code in the field—building platform operators, custom controllers, and AI wrappers—and upstream those contributions directly into core ISG product codebases.
• Product Roadmap Influence: Systematically translate developer friction points and field workarounds into concrete architectural requirements for VP/Director-level Product Managers.
• Technical Mentorship: Establish best-in-class API design practices, developer documentation standards, and code quality benchmarks across the broader FDE organization.
• Key Qualifications Technical Leadership & DevEx Stature 10+ years of software engineering experience , with 5+ years driving Developer Experience (DevEx), API design, or AI platform architectures at scale.
• Proven track record commanding technical credibility with C-suite leadership (CTOs, Chief AI Officers) while remaining deeply hands-on with staff-level software developers and systems engineers.
• Deep API & Kubernetes Platform Primitives Authority-level mastery of API Design Principles (RESTful design, gRPC, OpenAPI specifications, API Gateway integration).
• Deep understanding of Kubernetes internal mechanics , custom controllers, Custom Resource Definitions (CRDs), Operator patterns, and Cluster API (CAPI).
• Proficiency in establishing GitOps workflows and infrastructure-as-code automation.
• LLM, Generative AI & Data Ecosystem Hands-on experience building or supporting LLM/Generative AI application stacks : Frameworks & Orchestration: LangChain, LlamaIndex, Haystack, Semantic Kernel, Ray, vLLM, SGLang, Triton Inference Server.
• Vector Databases & Search: Milvus, Qdrant, Pinecone, pgvector, Weaviate.
• Streaming & Caching: Apache Kafka, Redis, Pulsar, Apache Spark, Flink.
• Experience integrating virtualized GPU workloads (NVIDIA vGPU, MIG, GPUDirect RDMA) into developer-accessible API primitives.
• Systems & Software Engineering Advanced proficiency in Go, Python, and TypeScript/Node.js for systems-level development, custom controller authorship, API microservices, and AI workflow integration.
• Comprehensive fluency across multi-cloud enterprise Kubernetes distributions (EKS, GKE, AKS, OpenShift, Rancher) and standard application network/storage abstractions.
• Experience & Education Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred (relevant years of equivalent experience considered in lieu of a degree). 17+ years of total professional experience in technical software roles required.
• Compensation and Benefits The annual base salary range for this position is CAD 115,600.00 To CAD 185,000.00 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, RRSP participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays; and paid sick leave and vacation time.
• The company follows all applicable laws for leaves of absence.
• 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.