Solutions Architect, Vision AI

NVIDIA AI; Singapore; On-site; SGD 190,000 - 270,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect to drive the adoption of vision AI and video AI across Southeast Asia. You will lead technically by building and scaling VLM and multi-modal AI systems, while coordinating with customers and partners to translate requirements into deployable architectures.

The role demands deep expertise in VLM AI models, Python/PyTorch, and strong communication across customers, product teams, and engineers.

Qualifications

• BS/MS/PhD in CS/EE/Math/ML or related field or equivalent experience.
• 5+ years in computer vision, vision AI, video AI, or world foundation models.
• Hands-on experience building production VLM and multi-modal AI systems.

Responsibilities

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

Skills

Python

PyTorch

VLM systems

Multi-modal AI

Communication

Education

BS/MS/PhD in CS/EE/Math/ML or related field

Tools

Docker

Kubernetes

Helm

Job description

Job Requisition ID JR2023216
Job Category Sales
Time Type Full time
We are looking for a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This is a highly technical role that requires deep expertise in VLM AI models and software engineering practices. We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region.
A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more.

What You’ll Be Doing

• Drive the adoption of NVIDIA's vision AI and video AI capabilities.
• Provide hands-on technical leadership to put VLM (Visual Language Models) and WFM (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.

What We Need To See

• BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, 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.
• Experience in the production trade-offs around latency, quality, and scale.
• Familiarity with Docker, Kubernetes, Helm, or equivalent infrastructure tooling.
• Ability to build and explain end-to-end AI pipelines, including model selection, customization, deployment, observability, and integration into customer applications.
• Strong communication skills and the ability to work effectively across customers, partners, product management, and engineering.

Ways To Stand Out From The Crowd

• Hands-on experience with NVIDIA AI technologies such as NVIDIA Metropolis + NVIDIA DeepStream SDK for live video pipelines, NVIDIA NIM for VLMs for serving, and Nemotron + Cosmos models.
• Experience supporting model adaptation using NVIDIA TAO Toolkit + NVIDIA NeMo frameworks.
• Experience benchmarking AI agents for quality, latency, reliability, safety, and user experience.
• Experience working with enterprise partners to productionize voice AI applications in domains such as contact centers, digital humans, assistants, or industry-specific voice workflows.

Regarded as a top choice among technology companies, NVIDIA delivers highly competitive salaries and a well-rounded benefits package. As you consider your future, explore what we can provide for you and your family at https://www.nvidiabenefits.com/