Drive innovation in AI engineering by designing and developing sophisticated AI systems that integrate seamlessly with the physical world. This role involves creating intelligent, autonomous, and real-time solutions through the application of computer vision, sensor fusion, machine learning, and edge computing.

Join a collaborative environment, working alongside robotics, software, hardware, and product engineering teams. You'll be instrumental in building scalable AI models and autonomous systems that address complex, real-world challenges, pushing the boundaries of what's possible in AI and robotics.

Spearhead the design, development, and deployment of advanced AI models tailored for robotics and physical systems. Develop robust perception systems leveraging computer vision, deep learning, and sensor fusion. Create algorithms for autonomous decision-making, navigation, path planning, and motion control.

Integrate diverse sensors (cameras, LiDAR, IMUs, GPS) into AI-driven applications. Validate AI models using advanced simulation environments and digital twins. Implement cutting-edge machine learning, deep learning, and reinforcement learning for autonomous operations, optimizing for edge devices and real-time performance. Collaborate effectively with cross-functional teams, ensuring high standards in architecture, testing, debugging, and deployment. Maintain comprehensive technical documentation and engineering best practices.

A Bachelor's or Master's degree in Computer Science, AI, Robotics, Electronics, or a related field is required. Possess 3-6 years of experience in AI, Machine Learning, Robotics, or Autonomous Systems. Fluency in Python, with proficiency in C++ or Java. Hands-on experience with ML/DL frameworks like PyTorch, TensorFlow, or Keras.

Demonstrated expertise in computer vision techniques (Object Detection, Image Classification, Instance Segmentation, Pose Estimation, Visual SLAM) and robotics frameworks (ROS/ROS2, Gazebo, Isaac Sim). Strong understanding of sensor integration, fusion, autonomous navigation, path planning, and motion control. Experience developing AI solutions for edge devices and Linux environments is essential. Familiarity with Git, Agile methodologies, and software engineering best practices is expected.