Design and implement high-fidelity spatial mapping and real-time object recognition pipelines. Integrate vision systems with robotic manipulation and navigation (ROS2/hardware). Train and fine-tune Vision-Language-Action models using NeRFs, 3D Gaussian Splatting, SLAM, and multimodal spatial AI frameworks to advance robotic automation.
We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with cutting-edge technology to integrate vision systems with robotic manipulation and navigation, to enhance automation capabilities.
Responsibilities:
- Implement high-fidelity spatial mapping and real-time object recognition pipelines.
- Integrate vision systems directly with robotic manipulation and navigation controls.
- Train and fine-tune Vision-Language-Action (VLA) models.
Required Skills:
- Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms.
- Experience with multimodal spatial AI frameworks.
- Previous work integrating computer vision outputs with ROS2 or robotic hardware.
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