Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная специализация в автономной робототехнике и сильный технический фокус, но без указанной зарплаты и подробностей об условиях сложнее оценить привлекательность предложения.
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Зарплата не указанаСовременные технологииАвтономная робототехникаЧёткие задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior SLAM and Localization Engineer (Robotics): Designing real-time SLAM and localization algorithms for autonomous vehicles by fusing LiDAR, cameras, GNSS, IMU, and HD maps with an accent on sensor fusion, state estimation, mapping, and 3D geometry. Focus on building robust localization across urban, closed-community, and off-road environments, optimizing graph-based systems, and integrating localization with autonomous driving stacks.
Location: Dubai Production City, United Arab Emirates
Company
hirify.global develops autonomous vehicles and the robotics software that enables their navigation and localization.
What you will do
Design and develop SLAM and localization algorithms for autonomous vehicle navigation and positioning.
Build sensor-fusion, state-estimation, mapping, and real-time localization capabilities.
Integrate LiDAR, cameras, GNSS, IMU, and HD maps for robust and accurate localization.
Develop solutions for urban, closed-community, and off-road autonomous driving environments.
Requirements
At least 3 years of experience in SLAM and localization.
Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field.
Strong understanding of SLAM, localization, sensor fusion, mapping, and state-estimation algorithms.
Hands-on experience with LiDAR-based and visual SLAM, HD mapping, graph-based SLAM, and optimization frameworks.
Experience with coordinate transformations, 3D geometry, Kalman filters such as EKF/UKF, or factor-graph optimization.
Strong programming skills in modern C++14/17.
Nice to have
Experience with autonomous driving or robotics localization systems.
Experience with multi-sensor synchronization and calibration.
Experience with ROS or ROS2.
Experience integrating localization modules with perception and planning stacks.
Experience contributing to medium- to large-scale software systems using CI/CD, version control, and system-integration workflows.
Culture & Benefits
Full-time role based at Dubai Production City.
Work on autonomous vehicle systems across multiple operating environments.
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