Vision AI Solutions Architect - VLM & Video AI Leader

NVIDIA Corporation

Singapore

On-site

SGD 180,000 - 300,000

Full time

14 days+
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Job summary

NVIDIA Corporation is seeking a Solutions Architect to help customers and partners in Southeast Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This highly technical role requires expertise in VLM AI models and software engineering practices, acting as the first line of technical support between NVIDIA and customers.

The role involves design, training/workshops, troubleshooting, project coordination, speaking engagements, customer relationship

Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field, or equivalent experience.
  • 5+ years of proven experience in computer vision, vision AI, video AI, or world foundation models.
  • Hands-on experience in building and scaling production VLM and multi-modal AI systems.
  • Strong Python skills and experience with PyTorch.
  • Familiarity with Docker, Kubernetes, Helm, or equivalent infrastructure tooling.

Responsibilities

  • Drive the adoption of NVIDIA's vision AI and video AI capabilities.
  • Provide hands-on technical leadership to put VLM and World Foundation Models into applications for computer vision, document processing, and video analytics.
  • Support solution development and technical validation around NVIDIA vision AI and video AI technologies. Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input.
  • Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA AI technologies.

Skills

Python
PyTorch
Communication
Computer Vision
VLM Knowledge

Education

BS/MS/PhD in CS/EE/related

Tools

Docker
Kubernetes
Helm

Job description

NVIDIA Corporation is seeking a Solutions Architect to help customers and partners in Southeast Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This highly technical role requires expertise in VLM AI models and software engineering practices, acting as the first line of technical support between NVIDIA and customers.

The role involves design, training/workshops, troubleshooting, project coordination, speaking engagements, customer relationship

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