Senior Solutions Architect, Physical AI Cloud
AI summary of the role
NVIDIA is hiring a Senior Solutions Architect to help enterprises deploy and accelerate Physical AI workloads—robotics simulation, synthetic data generation, training, and inference—at scale.
What you’ll do
- Design and scale Kubernetes-native environments for distributed Robotics workloads
- Help partners build scalable, observable, GPU-accelerated Physical AI pipelines using NVIDIA frameworks like OSMO
- Support development of Physical AI data factories for ingestion, preprocessing, annotation, synthetic data generation, training, simulation, and evaluation
- Accelerate distributed inference using NVIDIA technologies such as NIM, TensorRT-LLM, vLLM, and SGLang
What you’ll bring
- BS in Computer Science, Computer Engineering, or related field, or equivalent experience
- 5+ years in Solution Architecture or Infrastructure Engineering, advancing AI/ML systems from PoC to production on private/public cloud
- Experience scaling Robotics workloads (multimodal model training, inference, robot learning, simulation, large-scale data processing)
- Strong hands-on experience with Kubernetes-based platforms for distributed GPU and AI workloads
Technologies
Kubernetes · GPU · NVIDIA OSMO · NIM · TensorRT-LLM · vLLM · SGLang · Airflow · Argo · GitOps · IaC · Observability
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
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