Key Responsibilities
- Design and implement key CV and Deep Learning algorithms to enhance scene understanding and robot perception.
- Develop and optimize 3D point cloud-based feature detection, tracking, and segmentation pipelines
- Develop robust sensor calibration pipelines
- Train, tune, and deploy deep learning models for object detection and semantic segmentation
- Calibrate and tune perception sensors (LiDAR, RGBD, stereo cameras) for robust performance in real-world conditions
- Collaborate closely with teammates from navigation and SLAM teams to deliver high-quality autonomous software stacks that powers next generation cleaning robots.
- Produce clean, efficient, and well-tested C++ and Python code
- Contribute to technical documentation, testing infrastructure, and team knowledge sharing
Qualifications & Experience
- Bachelor’s or Master’s degree in CS, Robotics, or a related field (or PhD with relevant focus)
- 3+ years of industry experience in robotics perception or applied computer vision
- Proficient in data structures, algorithms and software design
- Proficient in C++ and Python development on Linux
- Hands-on experience with Deep Learning frameworks such as, PyTorch or TensorFlow
- Familiarity with 2D/3D sensor processing and related libraries such as OpenCV, PCL, etc
- Strong theoretical understanding of Deep Learning (DL) models related to Computer Vision (CV).
- Knowledge of common image classification, object detection and tracking algorithms.
- Familiarity with recent research trends in DL/CV.
- Experience working with ROS1 / ROS2
- Experience working with sensor modalities such as Stereo Cameras, RGBD cameras and 2D/3D Lidars.
Thanks,
Saghana Sithara
BusinessManager, Recruitment| Quess Selection & Services, Singapore
EA LicenseNumber: 23C2060 Registration ID is R1550224
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