Pave Robotics

| This is a full-time, in-office opportunity to work at the cutting edge of robotics in unstructured real-world environments. If you thrive in a fast-paced startup environment and want to push the boundaries of robotics engineering, this role is for you. Key Responsibilities Build out early-stage robot to work in real-world unstructured road environments Create motion and path planning algorithms for high-speed crack sealing Develop robust perception algorithms for real-time crack detection Implement sensor fusion algorithms for reliable localization and state estimation (encoders, IMU, cameras, etc.) Work with a team to deploy AI solutions in real-world applications, focusing on improving model performance Develop and implement novel approaches to model fine-tuning, optimization, and evaluation Optimize robot system-wide to hit engineering requirements across accuracy, speed, and reliability Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Math, Robotics, or relevant field 3-5 years at an early stage startup Experience with ROS/ROS2, Python, C++ Expertise in one or more of the following core robotics competencies: Localization/mapping Perception Motion/path planning Motion control Simulation + sim-to-real Experience with deep learning frameworks such as PyTorch or TensorFlow Experience with applied machine learning in a robotics context (image classification/segmentation preferred) Knowledge and experience with robot simulation (Gazebo, IsaacSim, etc.) Experience with containerization platforms such as Docker Knowledge and experience working with Jetson, Arduino Experience working cross-functionally across hardware and software environments Ability to rapidly prototype solutions, perform field testing, and iterate on software design Ability to quickly diagnose complex problems system-wide across multiple domains of robotics Portfolios highly regarded