Senior AI Solutions Architect - Vision & Diffusion

NVIDIA France; France; Sur place; EUR 120 000 - 180 000; Plein temps

Résumé du poste

NVIDIA is seeking a Senior Solutions Architect to optimize large-scale training and inference for computer vision diffusion models. You will bridge NVIDIA’s generative AI platform with demanding production pipelines across EMEA, delivering measurable improvements in performance and efficiency.

You will guide customers on diffusion architectures, multi-GPU deployments, and video generation pipelines, while translating insights back to NVIDIA R&D.

Qualifications

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

Responsabilités

• Guide EMEA AI Native companies building image, video, and multimodal generation products in training and deploying their pipelines on NVIDIA infrastructure.
• Provide deep technical guidance on diffusion model architectures (DiT, UNet, flow matching) and their efficient deployment across single and multi-GPU environments.
• Optimize generation pipelines for efficiency and quality improvements in production settings.
• Guide customers through the full visual content generation stack: codec-aware preprocessing, temporal consistency, video token representation, efficient long-video inference.
• Identify performance bottlenecks specific to vision workloads: memory-bound diffusion steps, attention scaling with resolution, and multi-GPU communication patterns for video.
• Translate customer's insights into actionable product feedback for NVIDIA's research and engineering teams.
• Contribute to the EMEA developer community through technical demos, workshops, and reference demos that showcase what is possible on NVIDIA stack.

Connaissances

AI/ML expertise

Large-scale training

Inference optimization

Diffusion models

Multimodal vision experience

Formation

MS or PhD in Computer Science / CV / ML

Outils

TensorRT

Triton Inference Server

NIM

Description du poste

NVIDIA is seeking a Senior Solutions Architect to optimize large-scale training and inference for computer vision diffusion models. You will bridge NVIDIA’s generative AI platform with demanding production pipelines across EMEA, delivering measurable improvements in performance and efficiency.

You will guide customers on diffusion architectures, multi-GPU deployments, and video generation pipelines, while translating insights back to NVIDIA R&D.