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# Senior Solutions Architect, Physical AI Cloud

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Cloud Engineering, Computer Engineering, DevOps, Workflow Management Systems, Computer Networking Systems, Cloud Platform System, Large Language Models, Kubernetes, Information Technology, Machine Learning Operations, TensorRT, Nim (Programming Language), Automation Anywhere, Data Generation
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-solutions-architect-physical-ai-cloud-santa-clara-ca-usa-58895125

## About the Role

* Accelerate distributed inference using NVIDIA technologies (NIM, TensorRT-LLM, vLLM, SGLang) * Provide technical guidance and mentorship to customers and collaborate with product, engineering, and business teams Tasks * BS in Computer Science, Computer Engineering, or related field; or equivalent experience * 5+ years in Solution Architecture or Infrastructure Engineering for AI/ML systems in cloud environments * Experience scaling robotics workloads (multimodal model training, inference, robot learning, simulation) * Hands-on experience with Kubernetes-based platforms for distributed GPU/AI workloads * Strong networking, storage, and workflow orchestration skills; DevOps practices (GitOps, IaC, Observability) * Excellent communication skills to convey complex concepts to diverse audiences Key requirements * equity * benefits package

## Description

Experteer Overview In this role you help partners deploy NVIDIA's Physical AI workloads at scale, focusing on GPU-accelerated robotics pipelines and cloud-native architectures. You will design scalable, observable Kubernetes-based environments for distributed robotics tasks and guide cross-functional teams to adopt NVIDIA frameworks. You influence architecture decisions that improve scheduling, storage, networking, and GPU utilization across hybrid infrastructure. This is a hands-on, collaboration-heavy position with a strong impact on robotics AI and simulation initiatives. Compensation / Benefits * Design and scale Kubernetes-native environments for distributed robotics workloads * Build scalable, observable pipelines for GPU-accelerated Physical AI workflows * Develop data factories for ingestion, preprocessing, synthetic data generation, training, simulation, and evaluation * Translate customer requirements into optimized cloud-native architectures and improve resource utilization * Accelerate distributed inference using NVIDIA technologies (NIM, TensorRT-LLM, vLLM, SGLang) * Provide technical guidance and mentorship to customers and collaborate with product, engineering, and business teams Tasks * BS in Computer Science, Computer Engineering, or related field; or equivalent experience * 5+ years in Solution Architecture or Infrastructure Engineering for AI/ML systems in cloud environments * Experience scaling robotics workloads (multimodal model training, inference, robot learning, simulation) * Hands-on experience with Kubernetes-based platforms for distributed GPU/AI workloads * Strong networking, storage, and workflow orchestration skills; DevOps practices (GitOps, IaC, Observability) * Excellent communication skills to convey complex concepts to diverse audiences Key requirements * equity * benefits package


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