Key Responsibilities
- Develop and optimize AI algorithms for robotics perception and navigation
- Implement SLAM (Simultaneous Localization and Mapping) solutions
- Train and deploy deep learning models for object detection and path planning
- Collaborate with hardware teams to optimize AI models for edge deployment
- Evaluate and benchmark algorithm performance against real-world robotics data
- Contribute to open-source robotics AI projects and research
Requirements
- 5+ years of experience in machine learning with Python
- Proficiency in deep learning frameworks (TensorFlow, PyTorch)
- Strong background in computer vision and SLAM algorithms
- Experience with robotics simulation tools (Gazebo, PyBullet)
- Familiarity with edge AI deployment (NVIDIA Jetson, Coral TPU)