Forward Deployed Engineer (Staff)

Broadcom

Confirmed live yesterday Trusted

Remote

Quick summary

Work type: Remote
Location: TXCharlotte, NCTNNYCO
Employment: Full-time
Posted: 53 days ago
Freshness: Confirmed live yesterday
Closes: Feb 18, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $201k

$145k $257k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,159–$233,050.

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 283 open roles on FindRole.

Listed pay typically runs $121,900–$195,000 across 162 roles with salary data.

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At a glance

TL;DR · Forward Deployed Engineer (Staff)

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The Forward Deployed Engineer (Staff) joins the Infrastructure Software Division to serve as an embedded engineering liaison for enterprise clients. This role involves working directly with core software architects and product managers to eliminate deployment friction and accelerate platform capabilities. You will write production code, build prototype integrations, and manage the end-to-end lifecycle of large-scale stateful workload migrations and AI infrastructure setups. Key responsibilities include architecting vSphere Kubernetes Service clusters, migrating legacy data stacks, and scaling AI inferencing workloads. You will utilize technologies including Kubernetes, Terraform, Helm, and GitOps tools like ArgoCD. Expertise in Ray, vLLM, Apache Spark, Kafka, Redis, and vector databases like Milvus is required to solve complex problems involving GPU accelerated compute and distributed data processing.

What does a Forward Deployed Engineer earn?

Median $208800 from 49 postings across 21 companies.

See salary data

Skills

Kubernetes vSphere Kubernetes Service (VKS) VMware Cloud Foundation (VCF) Terraform Helm GitOps ArgoCD Flux Ray vLLM Apache Spark Apache Flink Apache Airflow Apache Kafka RabbitMQ Pulsar Redis Cassandra ScyllaDB Milvus Qdrant Trino Presto Elasticsearch OpenSearch Triton Inference Server NVIDIA vGPU MIG Hadoop HDFS YARN Oracle Coherence Hazelcast Red Hat OpenShift Amazon EKS Google GKE Azure AKS Rancher RKE Cluster API KubeRay

What you'll do

Write production code and build prototype integrations directly within customer production environments.
Architect and maintain production-grade vSphere Kubernetes Service (VKS) clusters on hybrid cloud infrastructure.
Lead technical migrations of bare metal environments and legacy data stacks to Kubernetes targets.
Deploy and scale production AI inferencing workloads, RAG architectures, and vector search frameworks.
Containerize and refactor heavy stateful engines, message brokers, and distributed caches onto Kubernetes.
Debug live networking, storage, and GPU failures while optimizing VKS performance for clients.
Translate field-tested code and customer pain points into prioritized product requirements for core engineering teams.
Manage the full engagement lifecycle from initial architecture and discovery through go-live and stabilization.

What we're looking for

12+ years of related experience is required.
Bachelor's degree preferred.
Experience functioning within or alongside core software/R&D divisions rather than pure IT or professional services.
Proven track record of staying deeply engaged with customer technical leadership and developers across long-term, complex engineering projects.
Hands-on experience operating GPU accelerated Kubernetes nodes, model serving runtimes, vector databases, and distributed AI orchestration.
Hands-on experience containerizing and operating high-throughput platforms including distributed caching, messaging systems, and compute engines.
Technical depth across competing enterprise Kubernetes distributions such as OpenShift, EKS, GKE, AKS, or Rancher RKE/RKS.
Advanced skills in Terraform, Helm, Kubernetes Operators, Cluster API, and GitOps tools like ArgoCD or Flux.

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