Solution Architect, Computer Vision – Media and Entertainment — NVIDIA (ufficio Zurich)
CHF 73'500 - 111'500
NVIDIA (ufficio Zurich) · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- 31 days ago
SalaryCHF 73'500 - 111'500
Role overview
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.
- 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.
Company and context
- 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.
- You will combine your deep expertise in detection, tracking, and content generation powered by AI with NVIDIA’s top GPU and AI platforms.
- This role aims to drive measurable impact across global media ecosystems.
- We need a creative, hands-on individual to help our partners navigate the challenges of deploying state-of-the-art models at scale, whether on Edge devices for real-time analysis or across Large Cloud deployments for massive content management. What you will be doing:
- You will work on our EMEA M&E Solution Architects Team to drive NVIDIA technology adoption at key M&E customers.
- You will 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.
Additional details
- We need a creative, hands-on individual to help our partners navigate the challenges of deploying state-of-the-art models at scale, whether on Edge devices for real-time analysis or across Large Cloud deployments for massive content management. What you will be doing:
- 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. What We Need to See:
- Excellent presentation skills with the ability to bridge the gap between deep technical discussions with engineers and value-based conversations with executives. Ways to Stand Out from the Crowd:
Notes and original content
- We need a creative, hands-on individual to help our partners navigate the challenges of deploying state-of-the-art models at scale, whether on Edge devices for real-time analysis or across Large Cloud deployments for massive content management.
- What you will be doing:
- 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.
- What We Need to See:
- Excellent presentation skills with the ability to bridge the gap between deep technical discussions with engineers and value-based conversations with executives.
- Ways to Stand Out from the Crowd:
