Senior Solutions Architect – Diffusion AI Models

Job not on LinkedIn

🔥 12 hours ago

🌐 Poland, France, +3 more countries – Remote

🇵🇱 Poland – Remote 🇫🇷 France – Remote 🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇨🇭 Switzerland – Remote

💵 zł292.5k - zł507k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

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

🎯 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 inference-time performance tradeoffs • Strong communication skills, effective with ML researchers, creative technologists, and infrastructure engineers • Familiarity with NVIDIA's inference stack: TensorRT, Triton Inference Server, and NIM • Hands-on experience with video generation, including 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

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package