Company Name: ARAPL RaaS Pvt. Ltd. Location : Gurgaon, Pune Mode: Work From Office (WFO) / Hybrid Who We Are ARAPL RaaS Pvt. Ltd is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships. What We Need We are seeking a highly motivated and experienced Lead Robotic Engineer specializing in Perception to join our dynamic team and play a critical role in the development and implementation of advanced robotic perception and computer vision systems for our robots. The ideal candidate will be responsible for leading and guiding a team of engineers in designing, developing, and deploying robust and efficient algorithms for object detection, tracking, scene understanding, and semantic segmentation. Additionally, the candidate will utilize 3D cameras and LiDAR's to enhance the accuracy and precision of object recognition in various environments. This role offers an exciting opportunity to contribute to cutting-edge robotics technology and make a significant impact on the field. The ideal candidate will also be responsible for staying abreast of the latest advancements in the field and driving innovation within the team. Job Description Lead, mentor, and manage a team of engineers developing robotic perception and computer vision systems. Architect, design, and deploy deep learning and classical vision algorithms for: Multi Object and Single Object detection and tracking Object classification and re-identification Semantic and instance segmentation Scene understanding and Free-Space detection Develop robust sensor fusion models using LiDAR, stereo/depth cameras, and IMU/GPS. Ensure real-time performance and efficient computation on edge devices (e.g., NVIDIA Jetson, x86 systems). Own perception subsystem integration with the full autonomy stack (navigation, planning, control). Perform extensive validation via simulations and real-world testing in warehouses and factories. Collaborate cross-functionally with navigation, controls, systems engineering, and product teams. Maintain high-quality documentation, architecture diagrams, and code standards. Utilize deep learning, classical CV, and geometric methods for robust real-time performance. Drive innovation through research, evaluation of emerging technologies, and PoCs. Skill Sets Required Ph.D. or master's degree in Robotics, Computer Vision, Electrical Engineering, or related field. 4-7 years’ of demonstrated experience in developing and deploying perception systems for robots. Strong proficiency in programming languages such as Python, C/C++ Hands-on knowledge of data structures and algorithms for point cloud processing and are familiar with ROS/ROS2, OpenCV and PCL Expertise with tools and libraries like OpenCV, PCL, Tensor RT, Py Torch. Experience in tracking-by-detection, sensor calibration, and point cloud processing Hands-on experience with LiDARs (e.g., Velodyne, Ouster) and 3D cameras (e.g., ZED, Intel RealSense). Familiarity with ADAS concepts such as forward collision warning, object avoidance zones, and fail-safe sensing.\ Hands-on experience with 3D cameras and LiDARs for perception applications. Strong communication and leadership skills Passion for robotics and a desire to push the boundaries of technology. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment.