Robotics AI Solutions Architect - Kubernetes & GPU Infra

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 152,000 - 288,000; Full time

Job summary

NVIDIA is building a team to deploy and accelerate Physical AI workloads, including robotics simulation, synthetic data, and large-scale model training. We seek a hands-on Solutions Architect to design Kubernetes-native environments for distributed Robotics workloads and to mentor customers on NVIDIA frameworks.

You will work with product management, engineering, and partners to drive adoption of NVIDIA Physical AI technologies, balancing performance, cost, and scalability across hybrid cloud

Qualifications

• BS in CS/CE or related field.
• 5+ years in solution architecture or infra engineering for AI/ML in production on cloud.
• Experience scaling robotics workloads (training, inference, simulation, data processing).
• Hands-on with Kubernetes-based platforms for distributed GPU/AI workloads.
• Networking, storage, orchestration (Airflow, Argo), GitOps and IaC.

Responsibilities

• Help partners build scalable, observable GPU-accelerated Physical AI pipelines.
• Support data factories for ingestion, preprocessing, annotation, filtering, and synthetic data generation.
• Translate customer needs into optimized cloud-native architectures for hybrid infra.
• Accelerate distributed inference using NVIDIA tech (NIM, TensorRT-LLM, vLLM).
• Collaborate with teams, providing guidance and mentorship to customers.

Skills

Kubernetes platforms design/deploy/ops

Networking fundamentals (DNS, LB, TCP/

DevOps (GitOps, IaC, Observability)

Workflow orchestration (Airflow, Argo)

GPU/AI workload orchestration

REST/gRPC APIs building/debugging

Education

BS in Computer Science/Engineering or related field

Tools

Kubernetes

Airflow

Argo

GitOps

Terraform/IaC

NIM

TensorRT-LLM

vLLM

SGLang

Job description

NVIDIA is building a team to deploy and accelerate Physical AI workloads, including robotics simulation, synthetic data, and large-scale model training. We seek a hands-on Solutions Architect to design Kubernetes-native environments for distributed Robotics workloads and to mentor customers on NVIDIA frameworks.

You will work with product management, engineering, and partners to drive adoption of NVIDIA Physical AI technologies, balancing performance, cost, and scalability across hybrid cloud