Senior Solutions Architect, Industrial Robotics

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🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Equity • Benefits