Forward Deployed Engineer – Staff

Job not on LinkedIn

🔥 5 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $110.8k - $177.3k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Broadcom

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏭 Manufacturing

📦 Logistics

💼 Consulting

💰 Post-IPO Equity on 2017-10

Manufacturing • Logistics • Consulting

Broadcom is a global technology company that designs, develops, and supplies a broad range of semiconductor and infrastructure software solutions. The company serves the data center, networking, software, broadband, wireless, and storage and industrial markets. Broadcom is known for its innovative solutions in semiconductor and software businesses that enable the delivery of data and video content globally. Additionally, Broadcom is committed to maintaining privacy and accessibility standards in its digital interactions and customer service.

📋 Description

• Act as an embedded engineering liaison across the Infrastructure Software Division, working with core software architects, product managers, and enterprise client developers to eliminate deployment friction • Identify recurring migration blockers and platform usability gaps in customer environments, rapidly building and testing field fixes • Own the engagement lifecycle from pre-migration discovery through go-live and operational stabilization • Work with client engineers in production environments to write code, build manifests, debug networking, storage, and GPU failures, and optimize VKS performance • Synthesize field-tested code, architectural patterns, and customer pain points into core engineering requirements and prioritized platform features • Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure • Lead migration strategies for enterprise platforms, large bare metal environments, and legacy data stacks to VKS or cloud-native Kubernetes • Deploy, tune, and scale production AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes using virtualized GPU resources • Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes • Architect operator-driven, cloud-native deployments for modern data processing, orchestration, and distributed AI frameworks • Guide clients evaluating or operating VKS alongside OpenShift, EKS, GKE, AKS, or Rancher distributions

🎯 Requirements

• Deep alignment with product engineering workflows; experience functioning within or closely 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 • Demonstrated ability to translate raw technical customer requirements and field workarounds into clean product specifications and feature requests for core development teams • Hands on experience operating GPU accelerated Kubernetes nodes, model serving runtimes (vLLM, TGI, Triton Inference Server), vector databases (Milvus, Qdrant, Pgvector), and distributed AI orchestration (Ray, KubeRay) • Hands on experience containerizing and operating high throughput/low latency platforms, including Redis, Oracle Coherence, Hazelcast, risk calculation platforms, Hadoop (HDFS/YARN), Apache Kafka, RabbitMQ, and Pulsar • Deep technical knowledge of deploying, tuning, and scaling containerized data services, AI engines, and orchestrators including Ray, vLLM, Apache Spark, Apache Flink, Dask, Apache Airflow, Prefect, Dagster, Argo Workflows, Trino/Presto, Apache Cassandra/ScyllaDB, Elasticsearch/OpenSearch, Milvus, and Qdrant • Technical depth across OpenShift, EKS, GKE, AKS, or Rancher RKE/RKS • Advanced skills in Terraform, Helm, Kubernetes Operators (KPO), Cluster API (CAPI), and GitOps (ArgoCD, Flux) • Bachelor's degree preferred; relevant years' experience in lieu of a degree may be considered • 12+ years related experience required

🏖️ Benefits

• Discretionary annual bonus • Competitive new hire equity grant • Annual equity awards • 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 • Paid Family Leave and other leaves of absence in accordance with applicable laws