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# NVIDIA Solution Architect

- **Company:** NVIDIA Ltd.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, C++ (Programming Language), Nvidia CUDA, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Machine Learning, SAP (Applications), Software Engineering, Digital Twin, Large Language Models, Generative AI, Isaac Sim, AI Platforms, Kubernetes, Information Technology, TensorRT, Multiaccess Edge Computing, NVIDIA Omniverse, Docker
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/6d011cef-8818-43a6-896b-a2d519165eaa

## About the Role

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., * 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

## Description

* 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.