Senior HPC Solutions Architect

🕒 Abril 10

🏄 California – Remoto

🏄 California – Remote

💵 $184.000 - $356.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

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

• Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms. • Identifying hardware issues, supervising them through bugs, and keeping customers updated on current progress. • Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams. • Working directly with external customers/partners to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions. • Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs. • Collaborate with AI factory deployment teams and ensure RAs/Blueprints are accurately followed and implemented.

🎯 Requisitos

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience. • 10+ years of experience in designing, managing, and supporting large-scale hybrid networks. • Experience with scripting is helpful. • Strong programming skills in at least one of the following languages: C, C++, or Python. • Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications. • Proven understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects. • Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters). • System-level understanding of server/rack-level architecture, BMC, PCIe devices, Network Adapters, Linux OS, and kernel drivers. • Excellent communication and liaison skills to work with customers, partners, and internal functions.

🏖️ Benefícios

• Equity and benefits