AI & Computer Vision Specialist

ROLE OBJECTIVE & MISSION

Join our AI engineering group developing edge AI perception models for vision-guided mobile robots and smart IoT platforms. You will optimize neural networks to run efficiently on low-power edge hardware (Jetson Nano, Raspberry Pi AI HAT).

KEY RESPONSIBILITIES & DELIVERABLES

• Develop real-time computer vision models for object detection, obstacle avoidance, and visual SLAM.
• Optimize PyTorch/TensorFlow models using TensorRT and ONNX for resource-constrained edge computing devices.
• Integrate vision modules into ROS2 control loops and web dashboard interfaces.
• Build synthetic dataset generation pipelines and auto-labeling tools.
• Mentor junior software engineers and publish technical whitepapers/documentation.

REQUIRED TECHNICAL CAPABILITIES

• 3+ years experience with OpenCV, PyTorch/TensorFlow, and Python/C++ vision pipelines.
• Proven track record deploying vision models to edge devices (NVIDIA Jetson, Coral TPU, OpenCV OAK-D).
• Knowledge of camera calibration, stereo vision, and 3D point cloud processing.
• Experience with Docker, Git, and Linux software development environments.
• Degree in Computer Science, Artificial Intelligence, Robotics, or equivalent.