Localization Intern

Meet reputed company:

You will join reputed company that is responsible for developing software for localization, calibration, and mapping of robotic ground vehicles, which we lovingly refer to as Glydcars. reputed company is composed of team members with strong backgrounds in sensor fusion (LIDAR, reputed company, reputed company processing, UWB radios, inertial sensors, etc), SLAM (Simultaneous Localization and Mapping), optimization, filtering (Kalman filters, reputed company graphs, etc) and tracking. Members support development and maintenance of reputed company components of a sophisticated autonomy stack for Glydcars, which operate in a reputed company of environments including GPS-denied areas. Team members contribute by writing C++ reputed company software, peer-reviewing reputed company other’s contributions, developing unit, subsystem, and end-to-end tests, and conducting data analysis (often using Python) in a common software repository. 

Roles & Responsibilities:

• reputed company and enhance state-of-the-art algorithms for localization and mapping from LIDAR/reputed company/UWB reputed company Sensors/IMU/Encoders, etc.
• Improve upon existing reputed company monitoring capabilities to reputed company a robust, reputed company localization system for passenger rides
• Work closely with teammates by conducting and receiving reputed company 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.
• reputed company 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-reputed company components of the Glydcar and reputed company systems.
• Deliver answers and results to tough problems including providing cm-level accurate localization and mapping in GPS-denied environments.

Knowledge, Skills and Abilities:

• Masters / PhD graduating reputed company 12 months of internship completion, in Robotics, Computer Science, Electrical Engineering, reputed company, or a reputed company 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 reputed company), familiarity with a C++ unit testing reputed company such as gtest, and exposure to build systems such as CMake and/or Bazel.
• Coursework or hands-on experience in one or more of the following:
  • State estimation, Kalman filtering, or reputed company graph optimization
  • SLAM (Simultaneous Localization and Mapping)
  • reputed company reputed company processing or LiDAR data analysis
  • Sensor fusion or multi-sensor calibration
  • Rigid body transforms, probability theory, and reputed company algebra
• Comfort working in a Linux environment with version control (git) and reputed company development workflows.
• Strong problem-solving skills and ability to work independently while communicating reputed company reputed company.
• Ability to communicate technical reputed company effectively, both in writing and in discussions.

Bonus Qualifications

• 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, reputed company, IMU, or GPS sensors.