Solutions Architect, Vision AI

NVIDIA
Singapore
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration"]

Drive adoption of vision AI and video AI capabilities across South East Asia by providing hands-on technical leadership. Build and validate solutions that apply VLM (Visual Language Models) and WFM (World Foundation Models) to computer vision, document processing, and video analytics. Translate customer requirements into deployable architectures with product and engineering teams, and deliver demos, workshops, and partner enablement to accelerate NVIDIA AI adoption.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Solutions Architect, Vision AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Drive adoption of vision AI and video AI capabilities across South East Asia by providing hands-on technical leadership. Build and validate solutions that apply VLM (Visual Language Models) and WFM (World Foundation Models) to computer vision, document processing, and video analytics. Translate customer requirements into deployable architectures with product and engineering teams, and deliver demos, workshops, and partner enablement to accelerate NVIDIA AI adoption.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

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

Key Requirements

  • •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 building and scaling production VLM and multi-modal AI systems.
  • •Strong Python skills with experience with PyTorch.
  • •Experience with production trade-offs across latency, quality, and scale; familiarity with Docker, Kubernetes, Helm, or equivalent tooling.
Experience:5+ yearsComputer visionVision AIVideo AIWorld foundation modelsMulti-modal AI
Education:Bachelor's
Skills:CommunicationCross-functional collaboration
Tech Stack:PythonPyTorchVLMWorld Foundation ModelsComputer visionDocument processingVideo analyticsDockerKubernetesHelmAI pipelinesObservabilityNVIDIA MetropolisNVIDIA DeepStream SDKNVIDIA NIMNemotronCosmos modelsNVIDIA TAO ToolkitNVIDIA NeMoAI agents

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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