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# Senior Solutions Architect, Industrial Robotics

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Centers, Deep Learning, Kubernetes, Wikis, Docker, Data Generation
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-solutions-architect-industrial-robotics-santa-clara-ca-usa-58895114

## About the Role

_ VLM, Transformers, synthetic data generation) * Experience with Docker/Containers and Kubernetes * Experience with modern Deep Learning frameworks * Strong written and oral communication for cross-functional collaboration * Experience supporting customers/partners in technical engagements * Strong time-management and organizational skills for coordinating multiple initiatives * Strong analytical and problem-solving skills Key requirements * equity * benefits

## Description

Experteer Overview In this role you bridge NVIDIA technology with manufacturing customers, partners, and internal engineers to deliver high-value industrial robotics solutions. You will influence how AI, HPC, and edge architectures are applied across data centers and factories, shaping deployment patterns and reference architectures. You'll educate and enable teams through samples, whitepapers, and hands-on problem solving, while driving collaboration with lighthouse customers and ecosystem partners. Compensation / Benefits * Partner with industry and account teams to understand customer goals and deliver high-value solutions * Document and share knowledge through samples, whitepapers, blogs, and wiki articles * Champion integration of NVIDIA technologies into Manufacturing use cases (AI, HPC, edge, enterprise GPU) * Strategically collaborate with lighthouse customers and industry solution partners to extend the platform Tasks * 8+ years in robotics, humanoids and AI domains (e.g., VLA, VLM, Transformers, synthetic data generation) * Experience with Docker/Containers and Kubernetes * Experience with modern Deep Learning frameworks * Strong written and oral communication for cross-functional collaboration * Experience supporting customers/partners in technical engagements * Strong time-management and organizational skills for coordinating multiple initiatives * Strong analytical and problem-solving skills Key requirements * equity * benefits


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