Lead Software Engineer, Localization (Robotics)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Lead Software Engineer, Localization (Robotics): Leading the R&D of high-precision SLAM technologies for last-mile delivery robots with an accent on multi-modal fusion and scenario robustness. Focus on deploying optimized algorithms on edge platforms and ensuring stable centimeter-level localization in GNSS-denied urban environments.
Location: Onsite at office (Singapore or China)
Company
Southeast Asia's leading superapp utilizing embodied AI and robotics to optimize last-mile logistics and urban delivery services.
What you will do
- Lead the development of SLAM algorithms for large-scale environments using LiDAR, Vision, Odometry, and IMU.
- Develop robust solutions for filtering dynamic obstacles and maintaining localization in tunnels and urban canyons.
- Optimize SLAM algorithms for edge platforms such as NVIDIA Jetson Orin and Horizon J5 for real-time output.
- Design and implement automated toolchains for map generation, updates, and cloud management.
- Collaborate with Perception and Planning teams to provide low-latency pose estimation and semantic map data.
- Build performance evaluation frameworks using ATE and Loop Closure success rates.
Requirements
- Master's degree or above in CS, Robotics, Automation, Geomatics, or related fields.
- 5+ years of SLAM R&D experience in robotics or autonomous driving with full-cycle product experience.
- Expert proficiency in high-performance C++, Linux, and ROS 2.
- Mastery of LiDAR SLAM (LOAM, LIO-SAM) or Visual/Multi-sensor SLAM (VINS, ORB-SLAM3).
- Practical experience in SLAM acceleration using CUDA or TensorRT.
- Must be based in or work onsite at offices in Singapore or China.
Culture & Benefits
- Comprehensive Medical and Term Life Insurance.
- Flex customizable benefits package to suit individual needs.
- Parental, Birthday, and Love-all-Serve-all (LASA) volunteering leave.
- Confidential ber Assistance Programme for personal and family support.
- FlexWork arrangements including differentiated working hours.
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