Industrial Robotics Solutions Architect AI, Edge & HPC

NVIDIA

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

4 days ago
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Job summary

NVIDIA in Santa Clara, CA, is seeking a Solutions Architect for Industrial Robotics to bridge customers, partners and NVIDIA software engineers. You will help design high-value solutions that leverage GPU and networking hardware and software across manufacturing and AI workloads.

The role requires deep robotics and AI experience, Docker/Kubernetes, and strong communication. You will publish samples and whitepapers, mentor teams, and collaborate with lighthouse customers to expand NVIDIA’s

Qualifications

  • BS, MS, or PhD in Robotics, Engineering, Computer Science or equivalent experience.
  • 5+ years in robotics, humanoids and AI domains with GPU parallel computing knowledge.
  • Experience with Docker/Containers and Kubernetes in modern deployments.
  • Experience with modern Deep Learning software architecture and frameworks.
  • Strong written and oral communication for collaboration with management and engineering.
  • Experience supporting customers/partners in technical engagements.
  • Strong time-management, organization, and analytical problem-solving skills.

Responsibilities

  • Partner with industry and account teams to understand customer goals and deliver high-value solutions.
  • Document knowledge and create samples, whitepapers, blogs, and wiki articles.
  • Lead industry integrations of NVIDIA tech into Manufacturing use cases with AI and HPC architectures.
  • Collaborate with lighthouse customers and partners to expand platform adoption.

Skills

Robotics domain expertise
Communication skills
Docker/Containers
Kubernetes
Deep Learning frameworks
GPU programming
Problem solving

Education

BS/MS/PhD in Robotics/Engineering/CS

Tools

TensorFlow
PyTorch
NVIDIA Nsight
NVIDIA Jetson/Thor tools

Job description

NVIDIA in Santa Clara, CA, is seeking a Solutions Architect for Industrial Robotics to bridge customers, partners and NVIDIA software engineers. You will help design high-value solutions that leverage GPU and networking hardware and software across manufacturing and AI workloads.

The role requires deep robotics and AI experience, Docker/Kubernetes, and strong communication. You will publish samples and whitepapers, mentor teams, and collaborate with lighthouse customers to expand NVIDIA’s

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