Lead Engineer, Path Planning

We are searching for a planning engineer with a specialization in autonomy to join our fast-paced research team. As a high level path planning engineer you will be uniquely positioned in our team to work on large-scale autonomous problems and push forward the frontiers of AI technologies. You will be working together with control engineers to model vehicle and controller dynamics and use these models to characterize and accelerate controller improvements from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with existing team members with expertise spanning reinforcement learning, autonomous vehicles, deep learning, computer vision, robotics.

We’d like you to:

  • Work on cutting edge technology including AI-based path planning, reinforcement learning & robotic planning
  • Utilize modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques
  • Develop algorithms including path planning algorithms for lane keeping, proactive and passive lane change, automatic parking and etc. at different speed.
  • Produce robotic real-time trajectory planning in dynamic environments
  • Research & implement latest approaches in trajectory planning

You will have:

  • MSc/PhD in electrical or robotics, or a related field; or industry experience
  • Good programming skills with C/C++, ROS, could produce robust, well-tested C++ software
  • Knowledge of search-based algorithms, path planning, A*, RRT, D**, etc
  • Obstacle avoidance, Behavioral planning, new motion planning algorithms for comfortable and safe trajectories efficiently
  • Understanding/Working knowledge of discrete and continuous optimization methods
  • Hands-on experience in robotic and/or vehicle system design and implementation
  • Knowledge of vehicle dynamics and modeling
  • Experience in modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques
  • Gaussian process/ DDP/ LQR type algorithms
  • SLAM / Probabilistic Filtering experience