Senior Solutions Architect - Diffusion AI Models

Stack

Responsibilities

• ▹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 efficient deployment across single and multi-GPU environments
• ▹Guide customers through the full visual content generation stack: codec-aware preprocessing, temporal consistency, video token representation, efficient long-video inference
• ▹Identify performance bottlenecks in vision workloads: memory-bound diffusion steps, attention scaling with resolution, multi-GPU communication for video
• ▹Translate customer insights into product feedback for NVIDIA research and engineering teams
• ▹Contribute to the EMEA developer community through demos, workshops and reference demos

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, VAE architectures and their inference-time tradeoffs
• ▹Strong communication skills with ML researchers, creative technologists and infrastructure engineers

Nice to have

• ▹Familiarity with NVIDIA's inference stack: TensorRT, Triton Inference Server, NIM
• ▹Hands-on experience with video generation: temporal attention, 3D convolutions, 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

Soft skills

What we offer

• ▹Highly competitive salary and comprehensive benefits package

About the company

NVIDIA is widely considered one of the technology world's most desirable employers and is committed to a diverse work environment.