2 месяца назад
Robotics Localization and Mapping Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Localization and Mapping Engineer (LiDAR/Visual-Inertial Odometry): Developing efficient localization, mapping, and odometry algorithms for autonomous ground vehicles with an accent on sensor-based robotics, SLAM, and probabilistic filtering. Focus on evaluating competing methods, diagnosing difficult localization problems, and implementing reliable software in C++ and Python.
Location: Singapore
Company
develops autonomous logistics systems and robotic vehicles for safer, more efficient goods transportation.
What you will do
- Track state-of-the-art localization algorithms, focusing on LiDAR and visual-inertial odometry.
- Study and assist with localization and mapping algorithms based on EKF and other filtering techniques.
- Implement computationally efficient odometry systems for autonomous ground vehicles.
- Test different methods, evaluate results, document findings, and identify solutions to technical problems.
- Design and develop robotics software.
Requirements
- Undergraduate or master's studies in Computer Science, Robotics, or a related field.
- Strong familiarity with localization algorithms, including feature extraction, semantic segmentation, and full SLAM techniques.
- Experience with probabilistic robotics and sensor-related robotics research.
- Experience with C++ and Python in a Linux environment.
- Flexible problem-solving approach.
Nice to have
- Experience with ROS or similar middleware.
- Knowledge of data structures and object-oriented programming.
- Experience with real-world robotics deployment and sensor calibration.
- Experience with both computer vision and LiDAR.
- Experience with machine learning or GPU programming.
Culture & Benefits
- Part-time position in the Engineering department.
- Flexible working arrangements.
- International working environment with teams across the U.S. and Asia.
- World-class benefits and a collaborative, problem-solving culture.
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