[Hiring] Principal Forward Deployed Engineer @Broadcom

Role Description

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
  • Serve as the primary technical bridge between customer application developers, platform engineering teams, product managers, and C-level executive architects.
  • 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.
  • 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.
  • 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
  • Architect production-ready environments for real-time LLM inferencing, Agentic frameworks, and Retrieval-Augmented Generation (RAG) pipelines on high-density GPU clusters.
  • Standardize integration patterns for developer-facing AI frameworks (LangChain, LlamaIndex, AutoGen, vLLM) and expose clean, enterprise-compliant API gateways for model serving.
  • 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
  • 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.
  • Systematically translate developer friction points and field workarounds into concrete architectural requirements for VP/Director-level Product Managers.
  • Establish best-in-class API design practices, developer documentation standards, and code quality benchmarks across the broader FDE organization.

Qualifications

• 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.
• 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.
• Hands-on experience building or supporting LLM/Generative AI application stacks (LangChain, LlamaIndex, Haystack, Semantic Kernel, Ray, vLLM, SGLang, Triton Inference Server).
• Experience integrating virtualized GPU workloads (NVIDIA vGPU, MIG, GPUDirect RDMA) into developer-accessible API primitives.
• 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.

Requirements

• 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.

Benefits

• The annual base salary range for this position is CAD 115,600.00 to CAD 185,000.00.
• Eligible for a discretionary annual bonus and competitive new hire equity grant, along with annual equity awards.
• 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, paid sick leave, and vacation time.