Principal Forward Deployed Engineer - AI & Developer Platform
CA$115.6k - CA$185k/yr+ Discretionary annual bonus + New-hire equity grant + Annual equity awards
Expert
Bachelor's
Ontario, Canada
Remote
Software EngineeringAI Application Engineering, Backend Engineering
About the job
Requirements
- At least 10 years of software engineering experience, including at least 5 years driving Developer Experience, API design, or AI platform architectures at scale.
- A track record of technical credibility with C-suite leaders while working hands-on with staff-level software developers and systems engineers.
- Expertise in API design principles, including RESTful design, gRPC, OpenAPI specifications, and API gateway integration.
- Deep understanding of Kubernetes internals, custom controllers, Custom Resource Definitions, Operator patterns, and Cluster API.
- Proficiency establishing GitOps workflows and infrastructure-as-code automation.
- Hands-on experience building or supporting LLM and generative AI application stacks, including LangChain, LlamaIndex, Haystack, Semantic Kernel, Ray, vLLM, SGLang, and Triton Inference Server; vector databases and search including Milvus, Qdrant, Pinecone, pgvector, and Weaviate; and streaming and caching technologies including Apache Kafka, Redis, Pulsar, Apache Spark, and Flink.
- Experience integrating virtualized GPU workloads, including NVIDIA vGPU, MIG, and 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.
- Fluency across multi-cloud enterprise Kubernetes distributions, including EKS, GKE, AKS, OpenShift, and Rancher, and standard application network and storage abstractions.
- At least 17 years of total professional experience in technical software roles.
Responsibilities
- 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, and software development kits.
- Establish end-to-end continuous delivery pipelines, GitOps patterns using ArgoCD and Flux, and self-service developer portals.
- Build developer command-line tools, testing harnesses, and automation frameworks for application teams adopting vSphere Kubernetes Service and VMware Cloud Foundation platforms.
- Architect production-ready environments for real-time LLM inference, agentic frameworks, and Retrieval-Augmented Generation pipelines on high-density GPU clusters.
- Standardize integration patterns for developer-facing AI frameworks and expose enterprise-compliant API gateways for model serving.
- Set technical execution patterns for containerizing, orchestrating, and tuning high-throughput AI runtime engines alongside vector databases and caching layers.
- Write production Go, Python, and TypeScript code in the field, building platform operators, custom controllers, and AI wrappers, and upstream contributions to core product codebases.
- Translate developer friction points and field workarounds into architectural requirements for product managers.
- Establish API design practices, developer documentation standards, and code quality benchmarks across the Forward Deployed Engineering organization.
Desired Qualifications
- A Bachelor's degree in Computer Science or Software Engineering is preferred; relevant years of equivalent experience may be considered instead.
About the company
Broadcom designs chips and sells infrastructure software for the companies that run large data centers, telecom networks and corporate IT. Its custom AI processors, built with cloud companies, and its Ethernet switch chips move and process data inside the computer clusters that train AI models. The chip business also makes parts for broadband, wireless, storage and industrial equipment, sold to device makers and cloud operators, while VMware software lets businesses run private clouds and is sold by subscription. Broadcom took its current form in 2016, when Avago Technologies, formed in 2005 from Agilent's chip unit, bought Broadcom Corporation, and it is based in Palo Alto, California.
Company Size
10,001+
Company Stage
IPO
Headquarters
Palo Alto, California
Founded
2005
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Simplify's Take
What believers are saying
- AI demand is surging: AI chip sales more than tripled to $16.7 billion in the quarter ended August 2026.
- Big orders are booked ahead: Anthropic agreed in April 2026 to take 3.5 gigawatts of Broadcom-built TPU capacity from 2027.
- Jobs sit on deep profits: Broadcom converts almost half its revenue into free cash, 46% in the August 2026 quarter.
What critics are saying
- Jobs hinge on one channel: a single distributor bought 32% of Broadcom's fiscal 2025 revenue, up from 28%.
- Regulators face pressure to act: in July 2026 European cloud firms urged EU antitrust chiefs to pause VMware partner cuts.
- Software customers resent the pricing: Broadcom swapped VMware's permanent licenses for subscriptions, angering many corporate buyers.
What makes Broadcom unique
- Broadcom builds chips that customers design: it turns Google's TPU AI processor designs into finished silicon.
- Broadcom also runs a big software arm: infrastructure software, led by VMware, made 30% of quarterly revenue in August 2026.
- Broadcom grows by buying: it acquired CA Technologies in 2018, Symantec's enterprise unit in 2019 and VMware in 2023.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Retirement Plan
- 401(k) Company Match
- Employee Stock Purchase Plan
- Employee Assistance Program
- Paid Vacation
- Paid Sick Leave
- Paid Holidays