Forward Deployed Engineer – Staff

🕒 4 dias atrás

🏖️ New Jersey, New York – Remoto

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💵 $110.800 - $177.300 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Broadcom

10.000+ funcionários

Fundada em 1961

🏭 Manufatura

📦 Logística

💼 Consultoria

💰 Post-IPO Equity em 2017-10

Manufacturing • Logistics • Consulting

A Broadcom é uma empresa global de tecnologia que projeta, desenvolve e fornece uma ampla gama de soluções de semicondutores e software de infraestrutura. A companhia atende aos mercados de data center, redes, software, banda larga, sem fio, armazenamento e industrial. A Broadcom é reconhecida por suas soluções inovadoras em semicondutores e software que viabilizam a entrega de conteúdo de dados e vídeo em escala global. Além disso, a Broadcom mantém o compromisso com padrões de privacidade e acessibilidade em suas interações digitais e no atendimento ao cliente.

Descrição

• Act as an embedded engineering liaison across the Infrastructure Software Division, core software architects, product managers, and enterprise client developers • Identify migration blockers and platform usability gaps, rapidly building and testing field fixes • Own customer engagements from pre-migration discovery through go-live and operational stabilization • Write production code, build manifests, debug live networking, storage, and GPU failures, and optimize VKS performance in production environments • Translate field-tested code, architectural patterns, and customer pain points into 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, bare-metal environments, and legacy data stacks to VKS or cloud-native Kubernetes • Deploy, tune, and scale AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes using NVIDIA vGPU and MIG • Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes • Architect cloud-native deployments for data processing, orchestration, and distributed AI frameworks • Guide clients operating VKS alongside OpenShift, EKS, GKE, AKS, and Rancher distributions

🎯 Requisitos

• 12+ years related experience required • Bachelor's degree preferred • Relevant years' experience in lieu of a degree may be considered • Deep alignment with product engineering workflows; experience within or alongside core software/R&D divisions rather than pure IT or professional services • Proven experience staying engaged with customer technical leadership and developers across long-term, complex engineering projects • Ability to translate technical customer requirements and field workarounds into product specifications and feature requests • Hands-on experience operating GPU-accelerated Kubernetes nodes • Experience with model serving runtimes including vLLM, TGI, and Triton Inference Server • Experience with vector databases including Milvus, Qdrant, and Pgvector • Experience with distributed AI orchestration including Ray and KubeRay • Experience containerizing and operating distributed caching, in-memory grids, compute/analytics engines, messaging/streaming platforms, and stateful workloads • Deep technical knowledge of containerized data services, AI engines, and orchestrators • Technical depth across OpenShift, EKS, GKE, AKS, or Rancher RKE/RKS • Advanced skills in Terraform, Helm, Kubernetes Operators (KPO), Cluster API (CAPI), and GitOps tools including ArgoCD and Flux

🏖️ Benefícios

• 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 • Vacation time • Paid Family Leave and other leaves of absence in accordance with applicable laws

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