Posted:2 days ago|
Platform:
On-site
Full Time
Responsibilities:
• Develop perception algorithms for object detection, tracking, segmentation, and 3D scene understanding.
• Work with sensors like cameras, LiDAR, radar, and depth sensors for environment perception.
• Implement SLAM, mapping, and localization solutions for real-time robotics applications.
• Fuse data from multiple sensors to build accurate and reliable environmental models.
• Optimize and deploy perception pipelines on edge devices (e.g., NVIDIA Jetson).
• Collaborate with navigation, planning, and control teams to integrate perception into full robotic systems.
• Collect, annotate, and manage datasets for testing and training perception models.
Requirements:
• Strong background in computer vision and deep learning (OpenCV, PyTorch/TensorFlow).
• Experience with 3D perception (stereo vision, point clouds, SLAM).
• Proficiency in C++ and Python.
• Hands-on experience with ROS/ROS2.
• Knowledge of sensor fusion techniques and real-time optimization.
Doozy Robotics
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