Senior Solutions Architect, Industrial Robotics

🕒 5 days 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 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

🎯 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, 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

🏖️ Benefits

• Equity • Benefits