Senior Robotics Engineer - SLAM

As a Lead Project Manager at ARAPL RaaS Pvt. Ltd., you will be at the forefront of innovative autonomous solutions, focusing on the development of cutting-edge autonomous mobile robots (AMRs). Your role will involve assembling a technical team, managing project progress, controlling the budget, and establishing key supplier relationships to spearhead the development of our autonomous forklift AMR. The ideal candidate for this role will lead the design and development of SLAM-based navigation systems for robotic platforms, utilizing SLAM algorithms and techniques to enable accurate localization and mapping in various environments. Additionally, you will be responsible for developing, optimizing, and implementing SLAM algorithms and systems for real-time applications, staying up to date with the latest advancements in SLAM and related fields, and designing and executing experiments to evaluate the performance and robustness of SLAM solutions. Collaboration with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, will be essential to integrate SLAM solutions into various projects. Providing technical guidance and support to team members, identifying challenges in SLAM implementation, proposing innovative solutions, and contributing to the development of tools and frameworks to streamline the SLAM development process are key responsibilities of this role. Documenting and communicating research findings, algorithms, and technical specifications effectively will also be part of your duties. To excel in this position, you should hold a Bachelors / Master's or Ph.D. degree in Computer Science, Robotics, or a related field, with 3-7 years of demonstrated experience in SLAM research and development. Expertise in various SLAM techniques, proficiency in programming languages commonly used in SLAM (such as C++ and Python), solid understanding of computer vision, sensor fusion, probabilistic robotics, and optimization algorithms, as well as experience with popular SLAM libraries and frameworks are essential. Strong mathematical and analytical skills, excellent communication and teamwork abilities, and prior experience working with autonomous systems and robotics will be beneficial. Working at ARAPL RaaS Pvt. Ltd. comes with competitive salary packages, performance-based bonuses, comprehensive health and wellness benefits, opportunities for professional development and continued education, and a collaborative and innovative work environment.,