Solution Architect, Computer Vision – Media and Entertainment

This is a fully remote position, open to applicants in France.

📋 Description

• Join our EMEA M&E Solution Architects Team to facilitate the adoption of NVIDIA technology among key M&E clients.

• Ensure successful deployments in Data Center, Edge, and Cloud environments.

• Establish yourself as a trusted technical advisor for our customers in EMEA, assisting them in designing comprehensive agentic pipelines such as video analytics, archive analysis, and automated metadata extraction.

• Guide customer proof-of-concepts (PoCs) utilizing cutting-edge AI platforms to address intricate M&E challenges, including automated video summarization and agentic as well as Generative AI workflows for image and video synthesis.

• Create and implement scalable inference solutions that facilitate the shift from Edge processing to extensive Cloud clusters, while tackling the specific throughput and latency issues of VLMs and Diffusion models.

• Collaborate with NVIDIA's Engineering, Product, and Sales teams to enhance AI techniques, integrating algorithms and systems, and providing vital field insights to shape NVIDIA’s upcoming M&E software and hardware plans.

• Promote the adoption of NVIDIA’s Accelerated Compute Platforms, concentrating on enhancing our clients' capabilities in implementing modern AI architectures, ranging from traditional CNNs to transformer-based generative models.

⛳️ Requirements

• MS or PhD in Computer Science, Computer Vision, Engineering, or a related technical discipline (or equivalent experience).

• Over 5 years of experience in Computer Vision, with a solid grounding in traditional detection, segmentation, and tracking algorithms.

• Practical experience in developing or deploying Vision Language Models (VLMs) and/or Generative AI models used for visual and video content creation (e.g., Stable Diffusion, GANs, or Transformer-based synthesis).

• Expertise in ML frameworks such as PyTorch, along with a comprehensive understanding of the challenges associated with model deployment, customization, quantization, and large-scale inference.

• Experience in managing AI workloads across various environments, from resource-limited Edge devices to high-performance Cloud infrastructure.

• Outstanding presentation skills, with the ability to connect deep technical discussions with engineers to value-driven conversations with executives.

🏝️ Benefits

• Competitive salary

• Flexible working hours

• Professional development opportunities