Senior Solutions Architect, Cloud Partners

🕒 Agosto 28

🏄 California, New York, +3 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – 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 13%

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 74 dias.
• As vagas desta empresa costumam ser preenchidas em 36 dias.

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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

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver NVIDIA hardware and software solutions • Partner with Solutions Architects, Account Managers, Engineering, Product, and business leaders to align strategies, assess technical needs, and secure business opportunities • Serve as the primary technical driver for customers through the design, development, construction, integration, and production of GPU Cloud infrastructure and applications across the customer lifecycle • Conduct regular technical customer meetings covering project and product details, feature discussions, new technology introductions, and debugging • Build and drive adoption of NVIDIA solutions, including proofs of concept, to address critical business needs across infrastructure, libraries, and applications • Prepare and deliver technical content, including presentations, workshops, reference architectures, tutorials, and publications • Own end-to-end technology solution integration with strategic customers • Provide product strategy recommendations based on customer and partner feedback • Deliver GenAI, AI, and ML hardware and software to production

🎯 Requisitos

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience • 10+ years of Solution Engineering or similar Sales Engineering, Cloud Engineering, or Solution Architecture experience, including direct partner and customer experience • Experience crafting and deploying large-scale cluster environments • Hands-on experience designing, developing, and delivering distributed cloud architectures • Strong fundamentals in programming, optimization, and software design • Proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow • Practical expertise fine-tuning and deploying models • Experience integrating software application stacks, libraries, and frameworks to drive GPU platform consumption • Ability to own and drive complex multidisciplinary technical engagements throughout the customer lifecycle and across cross-functional teams • Efficient time management and ability to balance multiple tasks • Excellent presentation, communication, and collaboration skills • Self-starter with passion for growth, continuous learning, and sharing insights • Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models • Hands-on expertise with scaled AI cloud environments such as AWS, Azure, and GCP, and on-premises/hybrid infrastructure • Familiarity with NVIDIA hardware and systems technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager • Proficiency with large-scale AI model training/deployment, GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, cluster orchestration, SLURM, Kubernetes, orchestrators, load balancing, and cloud architecture • Experience working with enterprise developers and strong customer-facing skills

🏖️ Benefícios

• Equity • Benefits

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