Senior Solutions Architect, Industrial Robotics

🕒 Agosto 10

🏄 California – Remoto

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💵 $184.000 - $356.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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👻 Score fantasma 1%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of NVIDIA

NVIDIA

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

• Engage with customers, partners, and NVIDIA software engineers to support applications and platforms leveraging NVIDIA technology • Partner with industry and account teams to understand customer goals, strategies, and technical needs • Define and deliver high-value solutions for customer needs • Document knowledge and teach others through targeted samples, whitepapers, blogs, wiki articles, and customer problem-solving • Integrate NVIDIA technology into Manufacturing use cases using AI, HPC, enterprise GPU, and networking architectures • Support advanced applications in datacenter and edge environments • Partner strategically with lighthouse customers and industry-specific solution partners • Collaborate with internal developers, scientific researchers, data scientists, IT managers, senior leaders, customers, and partners

🎯 Requisitos

• BS, MS, or PhD in Robotics, Engineering, Computer Science or equivalent experience • 8+ years of work-related experience in robotics, humanoids, and AI domains • Experience with VLA, VLM, Transformers, synthetic data generation, and software development • Knowledge of parallel computing with GPUs • Experience with Docker/Containers and Kubernetes • Experience with modern deep learning software architecture and frameworks • Strong written and oral communication skills • Experience supporting customers and partners in technical engagements • Strong time-management and organization skills • Strong analytical and problem-solving skills • Experience applying AI to robotics and humanoid use cases, including VLA, VLM training, simulation, and digital twins • Experience with TensorFlow, PyTorch, TRT, Vision Transformer, or similar frameworks and models • Background with NVIDIA edge platforms including Jetson and Thor • Experience with GPU programming, design practices, and profiling tools such as Nsight Systems • Deep Neural Network research and development experience • Machine Learning research and development experience with industry data or a published record of technical thought leadership

🏖️ Benefícios

• Equity • Benefits

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