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/