Solution Architect, Computer Vision – Media and Entertainment

Are you passionate about redefining how the world creates, consumes, and analyzes video content? We are looking for a Solutions Architect to join NVIDIA's EMEA Media & Entertainment (M&E) Team, focusing on the intersection of traditional Computer Vision and the frontier of Generative AI.

In this role, you will help leading ISVs and M&E organizations build AI platforms that bring intelligence to every frame,from real-time video analytics and automated summarization to AI-driven marketing content generation that blends 2D and 3D assets.

Responsibilities:

• Work on our EMEA M&E Solution Architects Team to drive NVIDIA technology adoption at key M&E customers. Secure builds in Data Center, Edge, and Cloud Deployments.

• Become a trusted technical advisor for our EMEA-based customers, helping them architect end-to-end agentic pipelines like video analytics, archive analysis, and automated metadata extraction, etc...

• Lead customer proof-of-concepts (PoCs) using next-generation AI platforms to solve complex M&E use cases, including automated video summarization, agentic and Generative AI workflows for image and video synthesis.

• Design and implement scalable inference solutions that manage the transition from Edge-based processing to massive Cloud clusters, addressing the unique throughput and latency challenges of VLMs and Diffusion models.

• Partner with NVIDIA Engineering, Product, and Sales teams to optimize AI techniques bridging algorithms and systems, providing critical field feedback to influence NVIDIA's future M&E software and hardware roadmaps.

• Drive adoption of NVIDIA's Accelerated Compute Platforms, focusing on growing our customers' capabilities in deploying modern AI architectures, from traditional CNNs to transformer-based generative models.

Requirements:

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

• 5+ years of experience in Computer Vision, with a strong foundation in traditional Detection, Segmentation, and Tracking algorithms.

• Hands-on experience developing or implementing Vision Language Models (VLMs) and/or Generative AI models applied to visual and video content creation (e.g., Stable Diffusion, GANs, or Transformer-based synthesis).

• Proficiency with ML frameworks like PyTorch and a deep understanding of the challenges involved in model deployment, customization, quantization and inference at scale.

• Experience managing AI workloads across diverse environments, from resource-constrained Edge devices to high-performance Cloud infrastructure.

• Excellent presentation skills with the ability to bridge the gap between deep technical discussions with engineers and value-based conversations with executives.

Nice to Have:

• Expertise with NVIDIA-specific SDKs such as DeepStream, TensorRT, Triton Inference Server, TAO, and the Holoscan or NeMo frameworks.

• Experience with 3D rendering, lighting or familiarity with scene creation tools like NVIDIA Omniverse.

• Strong background in containerization (Docker/K8s) and optimizing distributed inference for Large Vision Models.