Computer Vision Engineer - Qode's client
Onsite, Hanoi center (1 day work from home)
Our client delivers robotic software and systems to automate tasks that require High Accuracy and High Agility, prides itself on helping clients, globally, achieve vastly improved productivity, lower costs, and better safety. Common uses include precision-handling, assembly, inspection, and other domains.
About this role
As an Application Engineer, your mission is to take charge of the necessary software engineering and application development work based on the Company Controller to address specific industrial applications, as well as to improve company’s in-house technologies AND support the integration and deployment of our technologies into our partner’s products and applications.
You will cover a wide range of work including programming, testing, design, as well as system integration, system deployment.
Key Responsibilities:
Requirements
Must have
Nice to have
Benefits
Develop computer vision and deep learning algorithms that localize autonomous vehicles on high-definition 3D maps, combining multi-camera data, geometric reasoning, and optimization for precise, robust driving.
Lead technical development of computer vision systems for 3D reconstruction, mapping, and visual positioning, taking research into scalable production while shaping technical direction and mentoring engineers.
Own and scale production computer-vision systems for sports video, from detection, tracking and action recognition to model evaluation and GPU inference optimization across high-volume streams.
Productionize 3D scene-understanding systems for embodied AI, translating perception research into reliable pipelines that label environments and support downstream simulation, policy learning, and customer workflows.
Develop and improve computer vision models for real-world traffic detection and tracking, owning the full cycle from data strategy and reproducible training to field validation and edge deployment.
