- Architect and implement robust software solutions for AMR platforms using C and C++ to ensure high-performance, real-time system execution.

- Lead the end-to-end implementation of Visual SLAM algorithms to enhance the navigation, localization, and mapping capabilities of our robotic fleet.

- Integrate advanced Deep Learning models into the robotics stack to improve object detection, classification, and decision-making in complex operational environments.

- Develop and maintain scalable software frameworks using ROS to facilitate seamless communication between modular robotic components.

- Design and execute comprehensive testing protocols using the Robot Framework to validate system reliability and performance before deployment.

- Mentor junior engineers and provide technical leadership on architectural decisions to foster a culture of engineering excellence and innovation.

Required Skillset :

- 10+ years of experience in robotics systems design, with a focus on AMRs and/or drones.

- Proficiency in C/C++, Python, and ROS/ROS2 frameworks.

- Proven experience with SLAM systems, both Lidar-based (e.g., Cartographer, LOAM) and visual (e.g., ORB-SLAM, OpenVSLAM).

- Hands-on expertise with embedded systems, RTOS, and board-level debugging.

- Solid understanding of deep learning frameworks (e.g., PyTorch, TensorFlow) and their deployment on edge devices.

- Familiarity with Generative AI models (e.g., transformers, diffusion models) and how they are shaping future intelligent systems.