Motion Planning Engineer

2 weeks ago

Long Beach, California, United States Odys Aviation Full time
Unlock the Future of Aviation with Odys Aviation

We're revolutionizing the way we travel by building advanced vertical takeoff and landing aircraft for major airlines. Our goal is to cut travel time in half on the world's busiest routes by utilizing city helipads and local airports.

Join Our Mission to Make Travel Sustainable

As a team of expert engineers from deep tech and aerospace, we're working together to remove the hassles of flying and reduce CO2 emissions for travelers globally. With a proven track record of developing and flying custom drones, bringing automotive platforms into production, and electrifying transportation vehicles, we're now tackling the challenge of advanced navigation systems for unmanned aircraft systems (UAS) and future passenger aircraft.

Key Responsibilities:
  • Research and implement cutting-edge motion planning algorithms for real-time autonomous systems operating in GPS-denied environments.
  • Develop trajectory optimizers that adhere to geometric and dynamic constraints.
  • Collaborate with the Perception team to integrate existing perception and planning algorithms seamlessly.
  • Test and evaluate the navigation system's performance in both simulated and real-world environments.
Requirements:
  • Currently pursuing a Master's degree in Aerospace Engineering, Computer Engineering, Robotics, or a related field.
  • Proven experience in designing and implementing path planning and search algorithms, such as A*, RRT, PRM, etc.
  • In-depth understanding of quad-rotor dynamics and control systems.
  • Strong programming skills in C++ and Python.
  • Proficiency with tools and frameworks such as ROS, Gazebo, RVIZ, PCL, Pytorch CUDA, OpenCL & OpenGL.
  • Experience in developing software for resource-constrained, real-time, embedded environments like NXP SOMS, IMX 8MP, NVIDIA Jetson.
  • Hands-on experience with sensors like Lidar, Cameras, ToF sensors, and IMUs for modeling, processing, and noise identification.
Preferred Qualifications:
  • Knowledge of linear, nonlinear control and sensor fusion techniques.
  • Familiarity with Visual Odometry, state estimation and SLAM algorithms.
  • Familiarity with PX4 and/or Ardupilot Flight Controller (FC) software.
  • Understanding of UAV/UAS technologies and relevant regulations.
  • Experience with hardware-in-the-loop (HIL) testing and simulation.

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