NVIDIA Solution Architect
NVIDIA Soution Architect / Lead Engineer Duration: 5 Months plus Location: Remote- Anywhere in US; preference to Pennsylvania or Texas
Requirements
Lead the design and implementation of AI, Physical AI, Robotics, Computer Vision, and Digital Twin solutions using the NVIDIA technology ecosystem. Drive innovation initiatives across manufacturing, industrial automation, and smart factory programs. Required Qualifications: Bachelor's or Master's degree in Computer Science, AI, Robotics, Engineering, or related field. 8+ years of software engineering/solution architecture experience. Hands-on experience with NVIDIA AI platforms and GPU-accelerated computing. Strong knowledge of AI/ML, Computer Vision, Python, C++, Docker, and Kubernetes. Experience in manufacturing, industrial automation, or Industry 4.0 environments preferred. Preferred Skills: NVIDIA Omniverse, Isaac Sim, DeepStream, TensorRT, CUDA Generative AI, LLMs, Digital Twins, Physical AI Azure/AWS Cloud Platforms Industrial IoT and Edge Computing Deliverables Architect and deploy solutions leveraging NVIDIA Omniverse, Isaac Sim, Metropolis, Jetson, CUDA, and AI Enterprise. Lead development of Physical AI, robotics, and computer vision applications. Design Digital Twin and simulation environments for industrial operations. Integrate AI solutions with enterprise and manufacturing systems (SAP, MES, IoT, SCADA). Provide technical leadership, solution governance, and mentorship to engineering teams. Support customer engagements, PoCs, pilots, and enterprise-scale deployments.