Vision AI Solutions Architect for VLM & Video AI

NVIDIA; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect in Singapore to help customers and partners in Southeast Asia embrace NVIDIA vision AI and video AI solutions. You will design, train, and deploy scalable AI architectures, lead workshops, and collaborate with field, product, and engineering teams to translate requirements into deployable solutions that accelerate adoption of NVIDIA AI technologies across the region.

As a technical leader, you will balance latency, quality, and scale considerations while

Qualifications

• BS, MS, or PhD in CS/EE/Math/ML or equivalent experience.
• 5+ years of experience in computer vision, vision AI, video AI, or world foundation models.
• Hands-on experience building and scaling production VLM and multi-modal AI systems.
• Strong Python skills and PyTorch experience.
• Experience with latency, quality, and scale trade-offs in production.
• Familiarity with Docker, Kubernetes, Helm, or equivalent tooling.
• Ability to build and explain end-to-end AI pipelines and integration into customer applications.
• Strong communication across customers, partners, product management, and engineering.

Responsibilities

• Drive adoption of NVIDIA's vision AI and video AI capabilities.
• Provide hands-on technical leadership to deploy VLM and WFM into applications.
• Support solution development and technical validation around NVIDIA AI tech.
• Translate customer requirements into deployable architectures, feedback, and roadmap input.
• Deliver demos, workshops, reviews, and partner enablement sessions.

Skills

Computer vision

Vision AI

Video AI

World foundation models

Python

PyTorch

End-to-end AI pipelines

Communication

Education

BS/MS/PhD in CS/EE/Math/ML or equivalent experience

Tools

Docker

Kubernetes

Helm

Job description

NVIDIA is seeking a Solutions Architect in Singapore to help customers and partners in Southeast Asia embrace NVIDIA vision AI and video AI solutions. You will design, train, and deploy scalable AI architectures, lead workshops, and collaborate with field, product, and engineering teams to translate requirements into deployable solutions that accelerate adoption of NVIDIA AI technologies across the region.

As a technical leader, you will balance latency, quality, and scale considerations while