> Markdown version of [/jobs/ext/3173110-senior-solutions-architect-diffusion-ai-models](https://www.wearedevelopers.com/jobs/ext/3173110-senior-solutions-architect-diffusion-ai-models). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Architect - Diffusion AI Models - **Company:** NVIDIA Corporation - **Location:** Valbonne, France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Codecs, Data Transformation, High-Level Architecture, Machine Learning, Information Technology, TensorRT, Stable Diffusion, Nim (Programming Language) - **Published:** September 10, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/France-Remote/Senior-Solutions-Architect---Diffusion-AI-Models_JR2024434 ## About the Role * 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. Ways to stand out from the crowd: * Familiarity with NVIDIA's inference stack: TensorRT, Triton Inference Server, and NIM. * Hand-son experience on video generation: Temporal attention, 3D convolutions, or causal video transformers. * Familiarity with codec-aware video pipelines and efficient video tokenization for generation at scale. * Published work or benchmarks in image/video generation, diffusion acceleration, or visual foundation models. ## 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. Working alongside leading AI Native companies building the next generation of image, video, and multimodal experiences, you will serve as the hands-on technical bridge between NVIDIA's generative AI platform and the industry's most demanding production pipelines. Your work will help customers unlock the full potential of NVIDIA's accelerated computing stack, driving measurable gains in performance, scalability, and efficiency across the full content generation lifecycle, from diffusion model training and optimization to image/video synthesis pipelines and multimodal foundation world models. What you will be doing: * 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 * 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. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Fake or News - Claude's DNA Discovery, Quick Cloning & Crime on Insta](https://www.wearedevelopers.com/videos/100364-fake-or-news-claude-s-dna-discovery-quick-cloning-crime-on-insta) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose)