Senior Solutions Architect – Diffusion AI Models

The role of Senior Solutions Architect, Diffusion AI Models at NVIDIA involves working with leading AI Native companies to optimize and deploy large-scale computer vision models, particularly diffusion-based ones. NVIDIA is a company known for its advanced AI infrastructure, which powers various industries through accelerated computing. The main day-to-day responsibilities include guiding EMEA AI Native companies in training and deploying their pipelines on NVIDIA infrastructure. This involves providing technical guidance on diffusion model architectures and optimizing generation pipelines for customers. The role also includes identifying performance bottlenecks specific to vision workloads and translating customer insights into actionable feedback for NVIDIA's research and engineering teams. Additionally, the architect will contribute to the EMEA developer community through technical demos, workshops, and reference demos. To qualify for this role, candidates must have an MS or PhD in Computer Science, Computer Vision, Machine Learning, or equivalent hands-on experience. They need 5+ years of experience in AI/ML with deep expertise in computer vision models. Experience with diffusion model frameworks for image/video generation and understanding of vision encoder optimization, VAE architectures, and their performance tradeoffs at inference time are essential. Strong communication skills are also required, as the role involves interacting with ML researchers, creative technologists, and infrastructure engineers. Nice-to-have skills include familiarity with NVIDIA's inference stack, such as TensorRT, Triton Inference Server, and NIM. Hands-on experience with video generation techniques like temporal attention, 3D convolutions, or causal video transformers is also beneficial. Familiarity with codec-aware video pipelines and efficient video tokenization for generation at scale, as well as published work or benchmarks in image/video generation, diffusion acceleration, or visual foundation models, can help candidates stand out. NVIDIA is known for being one of the most desirable employers in the technology world, offering highly competitive salaries and a comprehensive benefits package. The company is committed to fostering a diverse work environment and is an equal opportunity employer. The base salary range for this role in Poland is 292,500 PLN - 507,000 PLN. What the role asks for: - 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 performance tradeoffs at inference time. - Strong communication skills, effective with ML researchers, creative technologists, and infrastructure engineers. - Familiarity with NVIDIA's inference stack: TensorRT, Triton Inference Server, and NIM (nice-to-have). - Hands-on experience on video generation: Temporal attention, 3D convolutions, or causal video transformers (nice-to-have). - Familiarity with codec-aware video pipelines and efficient video tokenization for generation at scale (nice-to-have). - Published work or benchmarks in image/video generation, diffusion acceleration, or visual foundation models (nice-to-have).