Related skills
robotics python computer vision pytorch lidar📋 Description
- Develop CV algorithms for object recognition, scene understanding, SLAM in robotics.
- Improve perception for navigation, localization, manipulation with RGB, depth, LiDAR.
- Prototype AI architectures: Visual SLAM, LLMs for robotics, diffusion models.
- Deploy research at scale from prototype to production systems.
- Collaborate across CV, robotics, ML, and software engineering.
- Document findings through reports, presentations, or publications.
🎯 Requirements
- PhD in Computer Vision, Robotics, ML, or related field.
- Strong foundation in AI, DL, and CV.
- Hands-on PyTorch (preferred) or TensorFlow.
- Python proficiency; C++ knowledge a plus.
- Experience with robot perception systems (RGB-D, stereo, LiDAR).
- Publications in robotics, CV, or ML venues.
- Familiarity with SLAM, visual odometry, 3D reconstruction.
- Excellent English communication and collaboration in distributed teams.
🎁 Benefits
- Unmatched real-world data: data from 15,000+ robots across sites.
- Real impact: work influences production robotic systems.
- Research meets reality: bridge academia with deployment at scale.
- World-class mentorship: learn from researchers and engineers.
- Career pathways: top interns may be considered for future opportunities.
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