AI Factory Solutions Architect, CPU Focused

🕒 Julho 15

🏄 California – Remoto

🏄 California – Remote

💵 $184.000 - $356.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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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

• Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. • Having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory. • Being comfortable working on not just hardware and software elements, but also the larger AI workflow and operationalization of large scale compute resources. • As the technical leader for the CPU components within the NVIDIA AI Factory, you will play an instrumental role in driving that success. • Sharing knowledge with our colleagues, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. • Collaborating with executives and engineering to tackle sophisticated problems and help bring NVIDIA's premiere technologies to life.

🎯 Requisitos

• Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI. • A track record of defining and using MLOps and AI workflow tools and processes. • 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking. • Strong foundational expertise and a BS, MS, or equivalent experience in Engineering. • Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. • Ability to multitask efficiently in a multifaceted environment. • Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability. • Flexibility to adapt in fluid situations, especially with partners or customers. • Comfortable with occasional travel to customer sites.

🏖️ Benefícios

• equity • benefits