Localization Intern (Robotics)

TL;DR

Localization Intern (Robotics): Developing and enhancing state-of-the-art algorithms for localization and mapping using LIDAR, RADAR, and IMU sensors for autonomous transit vehicles with an accent on sensor fusion and SLAM. Focus on achieving centimeter-level accuracy in GPS-denied environments and implementing safety-critical software components.

Location: Remote (United States)

Company

hirify.global is reimagining public transit with a carbon-neutral network of interconnected pathways powered by autonomous vehicles.

What you will do

• Develop and optimize localization and mapping algorithms using LIDAR, RADAR, UWB, and IMU sensors.
• Improve integrity monitoring to ensure a robust and safe localization system for passenger transport.
• Conduct simulation, unit testing, and end-to-end scenario testing of the autonomy stack.
• Perform detailed performance analysis by replaying logs from simulated and live tests.
• Collaborate on the design of safety-critical software components for vehicles and wayside systems.
• Solve complex challenges to provide centimeter-level accuracy in GPS-denied environments.

Requirements

• Pursuing a Masters or PhD in Robotics, Computer Science, Electrical Engineering, Aerospace, or related field (graduating within 12 months).
• Proficiency in modern C++ (C++17 or later) and familiarity with gtest.
• Experience with build systems like CMake and/or Bazel.
• Knowledge of state estimation, Kalman filtering, SLAM, or point cloud processing.
• Comfort working in a Linux environment with Git version control.
• Must be based in the United States.

Nice to have

• Experience with robotics middleware (ROS, ROS2, LCM).
• Familiarity with autonomous vehicle simulation frameworks.
• Prior hands-on experience with LiDAR, RADAR, IMU, or GPS sensors.

Culture & Benefits

• Opportunity to work on groundbreaking carbon-neutral transit technology.
• Collaborative environment with peer code reviews and high engineering standards.
• Work with a team of experts in sensor fusion and autonomy.
• Commitment to equal employment opportunities and an inclusive workplace.