Senior Solutions Architect, AI Factory Infrastructure

🕒 Abril 21

🏄 California, North Carolina, +1 estados a mais – Remoto

🏄 California – Remote 🌲 North Carolina – Remote ☕ Washington – Remote

💵 $224.000 - $431.250 / 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

• Help customers with their AI factory journey, including workflow pipelines and performance optimization • Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows • Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines • Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem • Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity • Providing expertise in infrastructure workflows, including hardware, coordination of workload processes, and application tuning • Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution • Work directly with key customers to understand workflows and share feedback with internal product and engineering teams

🎯 Requisitos

• Bachelor's degree or equivalent experience in Engineering or Computer Science • 15+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise • An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads • Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, and tools built for cloud environments • Strong experience with Linux system environments, using Linux as a core operating system for IT workload delivery • Confident with Python programming, specifically interfacing with IT infrastructure through API, SDKs and libraries • Mastery of how software and hardware work together to optimize applications • Confident experience with AI workloads, with an emphasis on inference workloads • Ability to work independently with a remote team with minimal direction • Outstanding communication skills, strong interpersonal and be an excellent teammate!

🏖️ Benefícios

• equity • benefits