Solutions Architect, Vision AI

Responsibilities

• 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.

Languages