Senior Solutions Architect, AI Infrastructure Build Readiness – Execution

🕒 Outubro 31

🏄 California, Texas – Remoto

🏄 California – Remote 🤠 Texas – Remote

💵 $184.000 - $287.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 11%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 10 dias.
• As vagas desta empresa costumam ser preenchidas em 36 dias.
• Repostada uma vez.

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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

• Serve as a trusted advisor by understanding complex or large-scale customer workloads and mapping them to NVIDIA's technology stack • Co-design scalable architectures with OEM and deployment partners • Define technical direction, integration milestones, and deployment plans • Design, validate, and support solutions for customer and partner success • Identify gaps between partner needs and NVIDIA offerings and communicate insights to product and engineering teams • Lead technical engagements, troubleshoot complex issues, and advocate for customer technical needs • Drive technical enablement and platform adoption for NVIDIA SDKs, frameworks, and systems • Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement • Lead AI Factory build execution engagements, driving technical readiness, deployment validation, and issue resolution across AI infrastructure build-outs

🎯 Requisitos

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field • 8+ years of professional experience spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management • 3-5+ years of direct, hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems • Deep technical expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems • Track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries • Ability to communicate complex technical ideas clearly to technical and non-technical audiences • Strong problem-solving skills and intellectual curiosity • Experience working with OEM, ODM, system integrator, or deployment partner ecosystems • Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms • Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams • Travel required up to 50% • Hands-on technical expertise and problem-solving ability • Experience enabling customers or partners to adopt NVIDIA technologies and platforms • Experience with AI Factory, accelerated computing, rack-scale AI infrastructure, or large-scale GPU system deployments • Experience contributing to deployment playbooks, execution frameworks, or readiness programs for large-scale AI infrastructure build-outs

🏖️ Benefícios

• Equity • Benefits • Travel required up to 50% to support field engagements, partner sites, and deployment activities

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