Broadcom

Forward Deployed Engineer (Principal)

Posted 3 Days Ago

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Hiring Remotely in Colorado, USA

Remote

132K-212K Annually

Expert/Leader

Software • Semiconductor • Manufacturing

The Role

Leads enterprise infrastructure modernization, Kubernetes and VMware architecture, distributed AI inferencing, large-scale migrations, and stateful workload deployments. Acts as a technical bridge between engineering, product leadership, and executive customers; develops production code, operators, and reference implementations; influences product roadmaps; establishes GitOps and deployment standards; and mentors senior engineers. Requires deep expertise in Kubernetes, cloud-native platforms, GPU infrastructure, distributed systems, multi-cloud interoperability, and legacy-to-cloud migration.

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Job Description:

Position Description

We are seeking a Forward 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.

Skills Required

10+ years of software engineering experience
5+ years driving high-consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale
17+ years of related experience
Authority-level expertise in Kubernetes internals, CRDs, Operators, Cluster API, and GitOps architecture
Extensive experience architecting AI inferencing pipelines, virtualized GPU environments, model-serving frameworks, and distributed inference topologies
Experience architecting and operating high-throughput, low-latency stateful workloads on Kubernetes
Experience migrating complex enterprise monoliths, mainframe or bare-metal environments, and siloed AI hardware to cloud-native platforms
Hands-on systems and platform development experience in Go, Python, or Java
Technical fluency across OpenShift, EKS, GKE, AKS, Rancher, CSI, CNI, RDMA, InfiniBand, RoCEv2, and storage abstractions
Ability to establish technical credibility with C-suite stakeholders and customer engineering teams
Bachelor's degree

Broadcom Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Broadcom and has not been reviewed or approved by Broadcom.

Equity Value & Accessibility — Equity is used broadly through RSUs with quarterly or annual vesting, and an ESPP with a discount and look‑back that can add meaningful upside. Company disclosures show ongoing equity grants, including inducement RSUs tied to acquisitions, underscoring equity’s central role in total rewards.
Retirement Support — A 401(k) plan with a competitive company match and immediate vesting is consistently highlighted, supporting long‑term savings. Tax‑advantaged accounts like HSA/FSA further strengthen the financial wellness toolkit.
Pay Growth & Progression — Compensation ceilings in technical tracks are described as high, with wide ranges and very strong totals for experienced engineers. Sales compensation is also characterized as competitive, supporting attractive on‑target earnings.