
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.
🕒 Outubro 6
⛰️ Colorado, New York, +3 estados a mais – Remoto
💵 $132.200 - $211.500 / ano
⏰ Tempo Integral
🔴 Especialista
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Broadcom, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Outubro 6
Ainda aberta no site da Broadcom. Verificada 1 hora atrás.

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.
• Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division • Embed with major enterprise accounts during platform modernizations, bare-metal replatforming, stateful workload migrations, and AI inferencing deployments • Bridge core engineering, product management, executive leadership, and C-level enterprise customer architects • Architect, scale, and validate production-grade VKS and VCF topologies for mission-critical and regulated deployments • Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtime frameworks across GPU clusters • Lead end-to-end migration strategies from legacy bare-metal systems and AI workloads to cloud-native Kubernetes targets • Engineer prototype integrations, write production operators/CRDs, and upstream contributions into core ISG codebases • Translate customer pain points and field patterns into product requirements and roadmap priorities • Establish technical patterns for containerizing, tuning, and orchestrating distributed systems, data platforms, and AI engines • Define cross-platform integration strategies across competing enterprise distributions • Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns across the FDE organization • Mentor Senior and Staff FDEs
• 10+ years of software engineering experience with 5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale • Proven ability to command technical credibility with C-suite stakeholders while remaining deeply hands-on in production code • Authority-level mastery of Kubernetes internal mechanics, Custom Resource Definitions (CRDs), Kubernetes Operators, Cluster API (CAPI), and GitOps architecture (ArgoCD, Flux) • 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 • Proven track record architecting and running high-throughput, low-latency stateful workloads on Kubernetes • Deep experience migrating complex enterprise monoliths, mainframe/bare metal environments, and siloed AI hardware deployments to zero-downtime cloud-native pathways • Hands-on experience developing in Go, Python, or Java for systems-level infrastructure, Kubernetes controllers, custom AI wrappers, or automation frameworks • Comprehensive technical fluency across OpenShift, EKS, GKE, AKS, Rancher RKE/RKS, CSI/CNI, RDMA, InfiniBand, RoCEv2, and storage abstractions • Bachelor's degree preferred; relevant years' experience in lieu of a degree may be considered • 17+ years related experience required
• Discretionary annual bonus • Competitive new hire equity grant • Annual equity awards • Medical plans • Dental plans • 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 according to applicable laws
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