Glydways - Localization Intern
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• Masters / PhD graduating within 12 months of internship completion, in Robotics, Computer Science, Electrical Engineering, Aerospace, or a related field. Strong undergraduate seniors with relevant research experience will also be considered. • C++ Programming Skills: experience with modern variants of C++ (e.g., C++17 or later), familiarity with a C++ unit testing framework such as gtest, and exposure to build systems such as CMake and/or Bazel. • State estimation, Kalman filtering, or factor graph optimization • SLAM (Simultaneous Localization and Mapping) • Point cloud processing or LiDAR data analysis • Sensor fusion or multi-sensor calibration • Rigid body transforms, probability theory, and linear algebra • Comfort working in a Linux environment with version control (git) and collaborative development workflows. • Linux • Strong problem-solving skills and ability to work independently while communicating progress clearly. • Ability to communicate technical ideas effectively, both in writing and in discussions. • Experience with robotics middleware (ROS, ROS2, LCM, or similar). • Familiarity with build systems such as Bazel or CMake. • Experience with simulation frameworks for autonomous vehicles or robotics. • Prior hands-on experience with LiDAR, RADAR, IMU, or GPS sensors.
Responsibilities
• Develop and enhance state-of-the-art algorithms for localization and mapping from LIDAR/RADAR/UWB Range Sensors/IMU/Encoders, etc. • Improve upon existing integrity monitoring capabilities to provide a robust, safe localization system for passenger rides • Work closely with teammates by conducting and receiving code reviews and demonstrating attention to detail. • Conduct simulation (including developing and passing unit tests, subsystem tests, and end-to-end scenarios) and live testing of the autonomy stack. • Perform detailed analysis of algorithm and system performance by replaying logs of simulated and live testing and augmenting analysis capabilities. • Participate in the design of safety-critical software components of the Glydcar and wayside systems. • Deliver answers and results to tough problems including providing cm-level accurate localization and mapping in GPS-denied environments.
Similar Jobs
No credit card. Takes 10 seconds.