Senior Solutions Architect, AI – Accelerated Physics

🕒 Junho 24

🏄 California – Remoto

🏄 California – Remote

💵 $184.000 - $287.500 / ano

⏰ Tempo Integral

🟠 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

• Partner with research universities and institutes to co-create innovative HPC and AI solutions using NVIDIA’s accelerated computing platform • Collaborate with engineering, product, and business teams to align NVIDIA’s technical roadmap with the evolving strategies and complex workflows of the scientific and engineering research community • Engage with developers and researchers to architect ground-breaking solutions in areas such as computational physics, multiphysics simulation, engineering design exploration, and the next generation of Scientific Foundation Models • Help researchers move from high-fidelity simulation data to AI-enabled workflows, including surrogate models, neural operators, physics-informed models, reduced-order models, differentiable simulation, and real-time inference • Profile and optimize the performance of scientific applications, AI training, and inference workloads so sophisticated research workflows reach their full potential on accelerated systems • Travel requirement up to 20%

🎯 Requisitos

• BS, MS or PhD in Computational Physics, Engineering, Computer Science, Applied Mathematics, or a related field, or equivalent experience • 8+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs • Experience porting and/or optimizing scientific or engineering applications targeting GPUs • Strong fundamentals in programming and software design, especially in Python and C++ • Familiarity with computational physics or engineering simulation workflows, including numerical methods, model validation, uncertainty/error analysis, or simulation-data pipelines • Excellent knowledge of the theory and practice of AI at scale, especially as applied to scientific, simulation, or physics-based workloads • A dedication to clear and inclusive communication with a deep desire to partner with the academic community to help others succeed in their research goals

🏖️ Benefícios

• highly competitive salaries • a comprehensive benefits package