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 10%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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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 technical solutions. • Document knowledge and teach others through targeted samples, whitepapers, blogs, wiki articles, and customer whiteboarding. • Integrate NVIDIA technology into Manufacturing use cases involving AI, HPC, enterprise GPU, and networking architectures across datacenter and edge applications. • Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform. • Support customers and partners in technical engagements.

🎯 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, and Synthetic Data Generation 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. • Ability to collaborate effectively with management and engineering. • 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, and Vision Transformer models. • Experience with NVIDIA Isaac Sim and Isaac Lab. • Experience with GPU programming, design practices, and profiling tools such as Nsight Systems. • Deep Neural Network research and development experience with specialized domains, or Machine Learning research and development experience with industry data. • Published record of thought leadership in a technical area of simulation, robotics, data generation, AI, or Machine Learning.

🏖️ Benefícios

• Equity • Benefits

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