Embedded Computer Vision Engineer

About this role

About Ultralytics: At Ultralytics https://ultralytics.com/, we commit to relentless innovation in the AI space and seek team members https://www.ultralytics.com/about who resonate with our ambition to produce the world's best YOLO AI models https://ultralytics.com/yolo. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.

🌍 Join the team powering the future of vision AI Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by — we know your time is valuable, so here's what makes Ultralytics special. ⚡ Who we are At Ultralytics https://www.ultralytics.com/, we're on a mission to simplify AI for everyone. As the creators of the world's leading Ultralytics YOLO models https://docs.ultralytics.com/models/, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications with our open-source tools https://github.com/ultralytics.

Following our $30M Series A round https://www.ultralytics.com/news/ultralytics-raises-30m-series-a, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together.

💼 About the role As Embedded Computer Vision Engineer, you'll take YOLO models from PyTorch to production on edge hardware. You'll build and maintain export and inference integrations in the Ultralytics package https://github.com/ultralytics/ultralytics, helping models run accurately and efficiently across CPU, GPU, NPU, and SoC platforms. You'll own technical integrations with silicon and hardware partners, translating between model requirements and platform constraints.

Working across export formats, inference runtimes, and real devices, you'll ensure partners and their customers can deploy YOLO with confidence. This senior role suits an engineer with strong ML fundamentals, hands-on edge hardware experience, and the communication skills to work directly with internal teams and external partners. 🚀 What you'll do Export & runtime integration - Build and maintain export https://docs.ultralytics.com/modes/export/ and inference integrations, from model conversion to on-device support.