Forward Deployed Engineer (Principal)

Broadcom

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
NCNYTX
Salary
$110,800–$177,300 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday
Closes
Feb 11, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $144k
$96k most similar roles pay here $245k

This role pays less than 85% of similar roles. Most pay $156,575–$216,300 — the shaded band above. At the midpoint, this role pays about $144k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Broadcom

Broadcom is a global semiconductor and infrastructure software company that designs and markets a wide range of networking, storage, and wireless connectivity solutions. Industry: Semiconductors & Infrastructure Software

Broadcom currently has 121 open roles on FindRole.

Listed pay typically runs $121,900–$195,000 across 106 roles with salary data.

Most-posted roles

View all roles at Broadcom

At a glance

TL;DR · Forward Deployed Engineer (Principal)

The Forward Deployed Engineer (Principal) joins the Infrastructure Software Division as an elite technical authority and field leader. This role functions as a senior extension of R&D, where you will embed with complex enterprise accounts to manage platform modernizations, bare metal re-platforming, and mission-critical AI inferencing deployments. You will build production operators and CRDs, architect vSphere Kubernetes Service and VMware Cloud Foundation topologies, and develop high-value prototype integrations. The role requires expertise in Go, Python, or Java, alongside deep knowledge of Kubernetes, GitOps, and Cluster API. You will manage distributed systems involving Kafka, Pulsar, Milvus, Qdrant, Redis, Ray, vLLM, and Spark. Your work focuses on solving technical hurdles for large-scale stateful workloads, transitioning legacy systems to cloud-native targets, and optimizing high-density GPU clusters for real-time LLM inferencing and RAG pipelines.

What does a Forward Deployed Engineer earn?

Median $201250 from 49 postings across 21 companies.

See salary data

What you'll do

  • Architect and validate production-grade vSphere Kubernetes Service and VMware Cloud Foundation topologies for mission-critical deployments.
  • Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtime frameworks.
  • Lead end-to-end technical migration strategies to move legacy bare metal systems to unified cloud-native Kubernetes targets.
  • Write production operators, CRDs, and prototype integrations in the field to unblock strategic enterprise accounts.
  • Translate complex customer pain points and field workarounds into concrete product requirements for the engineering roadmap.
  • Establish deployment standards, GitOps frameworks, and CAPI patterns while mentoring other engineers in the organization.
  • Define cross-platform integration strategies for clients operating across multiple competing cloud distributions like OpenShift, EKS, and GKE.

What we're looking for

  • 17+ years of related experience are required.
  • 10+ years of software engineering experience with 5+ years in infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale.
  • Mastery of Kubernetes internals, CRDs, Cluster API (CAPI), and GitOps architecture.
  • Extensive experience architecting high throughput AI inferencing pipelines and virtualized GPU environments.
  • Proven track record of migrating complex enterprise monoliths and bare metal systems to cloud-native targets.
  • Proficiency in developing system-level infrastructure and automation using Go, Python, or Java.
  • Technical fluency across multiple distributions including OpenShift, EKS, GKE, AKS, and Rancher.
  • A Bachelor's degree is preferred.

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