Manager, First Time Deployment

🕒 Julho 14

🏄 California, Texas, +2 estados a mais – Remoto

🏄 California – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $184.000 - $345.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👔 Gerente

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 33%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🏥 Saúde

🏭 Manufatura

🤖 Inteligência Artificial

Healthcare • Manufacturing • Artificial Intelligence

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• Recruit and manage a team of solutions architects, system/network engineers, and software engineers focused on large-scale GPU and AI networking deployments • Set priorities, allocate resources, mentor team members, and ensure high-quality customer delivery across multiple concurrent projects • Participate directly in technical reviews, design decisions, and critical debugging efforts • Provide subject-matter expertise in advanced GPU and network systems as the senior technical contact for strategic customers • Lead complex compute/network configuration and performance debugging • Guide network, compute, and software architecture discussions • Support server, network, and cluster bring-up, including on-site data center work where needed • Collect and synthesize customer-specific requirements across the project portfolio • Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and package reference designs and solutions • Bring customer requirements to product teams to guide roadmap features • Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications • Operationalize new technologies by bridging prototype models and production-ready deployment plans • Drive initial deployment setup, site establishment, product feedback loops, validation data collection, obstacle resolution, workaround implementation, and detailed deployment planning • Capture installation and bring-up evidence, handle validation, describe blockers, and find solutions to deploy AI Factories globally

🎯 Requisitos

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience • 8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles • 2+ years leading or mentoring engineers or architects • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers • Experience with data center networking, including Ethernet and/or InfiniBand switches, fabrics, and associated tooling • Familiarity with data center infrastructure, including power, cooling, and deployment constraints • Proven ability to lead technical teams, set priorities, and drive complex projects from design through production • Demonstrated success working with Product Management, Sales, and Engineering • Strong time management skills • Excellent written and verbal communication, including customer meetings, status and risk communication, design documents, debug summaries, and presentations • Direct people management and recruiting experience for geographically distributed technical teams • Track record leading bring-up and deployment of large clusters or supercomputing environments • Background in external customer-facing roles, such as field engineering, escalations, or pre/post-sales architecture • Systems engineering, coding, and debugging skills, including C/C++, Linux kernel, and drivers • Hands-on experience with NVIDIA GPU systems and SDKs such as CUDA • Experience with NVIDIA networking technologies, NICs, RoCE, and InfiniBand, and/or ARM-based CPU solutions • Familiarity with virtualization and cloud-native networking concepts • Willingness to travel occasionally (30%) for on-site customer visits and industry events

🏖️ Benefícios

• Equity • Benefits • Remote work location • Occasional travel (30%) to customer sites and industry events