Theconstructsim
Robotics Navigation Algorithm Engineer
Theconstructsim, Ceres, California, United States, 95307
Hong Kong Center For Construction Robotics Limited
On-site Full Time Associate
Job Responsibilities
Research, develop, and optimize
LiDAR-based SLAM algorithms , including core modules such as
mapping, localization, loop closure detection, and path planning . Investigate
multi-sensor fusion techniques
(LiDAR, IMU, odometry, vision, etc.) to enhance algorithm robustness and accuracy in dynamic environments. Optimize algorithm performance for
indoor/outdoor complex scenarios
(e.g., warehousing, industrial, service robots) and deploy solutions on embedded platforms. Collaborate with hardware teams on
sensor calibration, system integration, and field testing , troubleshooting technical issues in real-world applications. Prepare
technical documentation , including algorithm design specifications, test reports, and solution proposals to support product iteration and IP applications. Work closely with product and testing teams to implement algorithms in
robotic navigation systems . Qualifications
Bachelor’s degree or higher
in Computer Science, Automation, Robotics, Electronic Engineering, or related fields. 3+ years of hands-on experience
in
LiDAR SLAM algorithm development , with familiarity in mainstream frameworks (e.g., Cartographer, Gmapping, LOAM). Proficient in
C++/Python
and
Linux/ROS
development environments; experienced with algorithm libraries (Eigen, PCL, Ceres, g2o). Strong
mathematical foundation
(probability theory, linear algebra, graph optimization) with the ability to derive SLAM-related mathematical models. Solid understanding of
robotic navigation workflows
(mapping, localization, path planning, obstacle avoidance). Experience in
AGVs, cleaning robots, or autonomous driving
is a plus. Practical experience in
multi-sensor calibration, point cloud processing, and real-time system optimization . Preferred Qualifications
Familiarity with
visual SLAM
(e.g., ORB-SLAM, VINS-Fusion) or
semantic SLAM
techniques. Experience in
algorithm deployment on embedded platforms
(ARM, STM32). Participation in
robotics competitions
or publications/patents in related fields. Additional Information
Job Level
Associate Company Overview
InnoHK is a major initiative by the Hong Kong SAR Government to transform the city into a global innovation powerhouse. In collaboration with leading institutions locally and globally, research discoveries will be turned into tangible benefits for all. The Hong Kong Center for Construction Robotics (HKCRC) was established in 2020 as a research and incubation center jointly participated by the Hong Kong University of Science and Technology and the University of California, Berkeley. It is affiliated with the InnoHK initiative of the Hong Kong SAR Government. Led by Professor Li Zexiang from HKUST, the center brings together world-renowned professors, scholars, and industry resources. It is dedicated to integrating advanced technologies such as robotics, automation, and AI into the construction industry, thereby driving profound transformations throughout the construction industry.
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Research, develop, and optimize
LiDAR-based SLAM algorithms , including core modules such as
mapping, localization, loop closure detection, and path planning . Investigate
multi-sensor fusion techniques
(LiDAR, IMU, odometry, vision, etc.) to enhance algorithm robustness and accuracy in dynamic environments. Optimize algorithm performance for
indoor/outdoor complex scenarios
(e.g., warehousing, industrial, service robots) and deploy solutions on embedded platforms. Collaborate with hardware teams on
sensor calibration, system integration, and field testing , troubleshooting technical issues in real-world applications. Prepare
technical documentation , including algorithm design specifications, test reports, and solution proposals to support product iteration and IP applications. Work closely with product and testing teams to implement algorithms in
robotic navigation systems . Qualifications
Bachelor’s degree or higher
in Computer Science, Automation, Robotics, Electronic Engineering, or related fields. 3+ years of hands-on experience
in
LiDAR SLAM algorithm development , with familiarity in mainstream frameworks (e.g., Cartographer, Gmapping, LOAM). Proficient in
C++/Python
and
Linux/ROS
development environments; experienced with algorithm libraries (Eigen, PCL, Ceres, g2o). Strong
mathematical foundation
(probability theory, linear algebra, graph optimization) with the ability to derive SLAM-related mathematical models. Solid understanding of
robotic navigation workflows
(mapping, localization, path planning, obstacle avoidance). Experience in
AGVs, cleaning robots, or autonomous driving
is a plus. Practical experience in
multi-sensor calibration, point cloud processing, and real-time system optimization . Preferred Qualifications
Familiarity with
visual SLAM
(e.g., ORB-SLAM, VINS-Fusion) or
semantic SLAM
techniques. Experience in
algorithm deployment on embedded platforms
(ARM, STM32). Participation in
robotics competitions
or publications/patents in related fields. Additional Information
Job Level
Associate Company Overview
InnoHK is a major initiative by the Hong Kong SAR Government to transform the city into a global innovation powerhouse. In collaboration with leading institutions locally and globally, research discoveries will be turned into tangible benefits for all. The Hong Kong Center for Construction Robotics (HKCRC) was established in 2020 as a research and incubation center jointly participated by the Hong Kong University of Science and Technology and the University of California, Berkeley. It is affiliated with the InnoHK initiative of the Hong Kong SAR Government. Led by Professor Li Zexiang from HKUST, the center brings together world-renowned professors, scholars, and industry resources. It is dedicated to integrating advanced technologies such as robotics, automation, and AI into the construction industry, thereby driving profound transformations throughout the construction industry.
#J-18808-Ljbffr