Software Engineer Perception Robotics

Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

Grab is seeking a Software Engineer specializing in perception robotics to help develop systems that enable robots to understand and navigate their surroundings. The role typically requires a degree in computer science, robotics, electrical engineering, or a related field; strong programming skills in C++ and/or Python; and experience with computer vision, sensor fusion, machine learning, SLAM, localization, or autonomous systems. Familiarity with cameras, LiDAR, robotics middleware such as ROS, and real-time software is valuable. The successful candidate is expected to design reliable perception algorithms, test and deploy solutions, investigate technical issues, collaborate with multidisciplinary teams, and communicate clearly. A practical problem-solving mindset, ownership, and interest in building safe, scalable robotic technology are important.

About the employer

Grab is a Southeast Asian technology company headquartered in Singapore, operating across transport, food delivery, parcel delivery, digital payments, and financial services. Founded as a ride-hailing startup, it has grown into a regional superapp serving customers, drivers, merchants, and businesses in countries including Indonesia, Malaysia, Singapore, Thailand, Vietnam, and the Philippines. Grab uses technology, data, and platform-based services to make everyday transactions more accessible and convenient. Its engineering teams work on mapping, logistics, artificial intelligence, payments, marketplace systems, safety, and emerging technologies such as robotics. In Indonesia, Grab has a substantial operational and technology presence, offering opportunities in software engineering, product management, data, commercial operations, customer experience, and corporate functions. The company generally values collaboration, customer focus, experimentation, inclusion, and measurable real-world impact.