Senior Solutions Architect – Diffusion AI Models

NVIDIA
France, United Kingdom, Spain, Poland, Switzerland
Workplace: RemoteFull timePLN 292,500 - 507,000Function: Solutions Engineering & Sales EngineeringEducation: mastersSkills: ["Communication","Customer-facing technical guidance","Performance optimization","Collaboration","Technical demos"]

Guide EMEA AI-native companies in training and deploying image, video, and multimodal generation pipelines on NVIDIA infrastructure. Provide technical leadership on diffusion model architectures (DiT, UNet, flow matching), optimize generation for single- and multi-GPU vision workloads, and help improve codec-aware preprocessing and long-video inference. Translate customer needs into product feedback, and support the developer community with demos, workshops, and reference implementations.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Solutions Architect – Diffusion AI Models

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Guide EMEA AI-native companies in training and deploying image, video, and multimodal generation pipelines on NVIDIA infrastructure. Provide technical leadership on diffusion model architectures (DiT, UNet, flow matching), optimize generation for single- and multi-GPU vision workloads, and help improve codec-aware preprocessing and long-video inference. Translate customer needs into product feedback, and support the developer community with demos, workshops, and reference implementations.
Location: France, United Kingdom, Spain, Poland, Switzerland
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Guide EMEA AI-native companies in training and deploying image, video, and multimodal generation pipelines on NVIDIA infrastructure.
  • •Provide technical guidance on diffusion model architectures and their efficient deployment across single- and multi-GPU environments.
  • •Optimize visual content generation pipelines including codec-aware preprocessing, temporal consistency, video token representation, and long-video inference.
  • •Identify vision workload performance bottlenecks such as memory-bound diffusion steps, attention scaling with resolution, and multi-GPU communication patterns.
  • •Translate customer insights into actionable product feedback for NVIDIA research and engineering teams.

Pay and Benefits

Salary: PLN 292,500 - 507,000

Key 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 and VAE architectures and their inference-time performance tradeoffs.
  • •Strong communication skills working effectively with ML researchers, creative technologists, and infrastructure engineers.
Experience:AI/MLComputer visionDiffusion modelsGenerative AI
Education:Master's in Computer Science, Computer Vision, Machine Learning
Skills:CommunicationCustomer-facing technical guidancePerformance optimizationCollaborationTechnical demos
Tech Stack:DiffusionDiTUNetFlow matchingSingle-GPUMulti-GPUVideo token representationTensorRTTriton Inference ServerNIMVAETemporal attention3D convolutionsCausal video transformersCodec-aware video pipelinesEfficient video tokenization

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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