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Senior Solutions Architect – Diffusion AI Models

🔥 17 hours ago
Computer VisionMachine LearningDiffusion ModelsNVIDIA Inference Stack

📜 Description

  • Guide EMEA AI Native companies in training and deploying their image, video, and multimodal generation products on NVIDIA infrastructure.
  • Provide deep technical guidance on diffusion model architectures and their efficient deployment across single and multi-GPU environments.
  • Optimize generation pipelines for visual content generation, including codec-aware preprocessing and efficient long-video inference.
  • Contribute to the EMEA developer community through technical demos, workshops, and reference demos showcasing NVIDIA's capabilities.

🛠️ Requirements

  • MS or PhD in Computer Science, Computer Vision, Machine Learning, or equivalent hands-on experience.
  • 5+ years in AI/ML with deep expertise in Computer Vision models.
  • Experience with diffusion model frameworks for image/video generation.
  • Understanding of vision encoder optimization and performance tradeoffs at inference time.
  • Strong communication skills with ML researchers and infrastructure engineers.

Benefits

  • Identify performance bottlenecks specific to vision workloads and translate customer insights into actionable product feedback.
Full job description

We are seeking a Senior Solutions Architect with deep expertise in large-scale training and inference optimization of computer vision models such as diffusion based.

Description

  • Guide EMEA AI Native companies in training and deploying their image, video, and multimodal generation products on NVIDIA infrastructure.
  • Provide deep technical guidance on diffusion model architectures and their efficient deployment across single and multi-GPU environments.
  • Optimize generation pipelines for visual content generation, including codec-aware preprocessing and efficient long-video inference.
  • Contribute to the EMEA developer community through technical demos, workshops, and reference demos showcasing NVIDIA's capabilities.

Requirements

  • MS or PhD in Computer Science, Computer Vision, Machine Learning, or equivalent hands-on experience.
  • 5+ years in AI/ML with deep expertise in Computer Vision models.
  • Experience with diffusion model frameworks for image/video generation.
  • Understanding of vision encoder optimization and performance tradeoffs at inference time.
  • Strong communication skills with ML researchers and infrastructure engineers.

Benefits

  • Identify performance bottlenecks specific to vision workloads and translate customer insights into actionable product feedback.
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