Perception Engineer

Overview At Raise Robotics, we’re building robots that work where people shouldn’t. Our team has successfully deployed machines into real construction sites and factories. We’re now building our next generation platform to help build some of the largest structures in the world - think buildings, ships, energy generation plants, and more. We’re looking for team members who enjoy touch technical challenges and want to make an impact. You’ll have the opportunity to travel to customer sites and see our machines working out in the real world. What we’re looking for At least 3 years of experience developing learning-based vision systems in academia or industry. Experience with camera based localization Familiarity working with object detection and 6D pose estimation from images and point clouds. Understanding of classical image models, such as pinhole cameras and distortion compensation. Excellent mathematical skills, especially with probability and linear algebra. Expertise with training and architecting CNNs for perception tasks. Prior experience working with TOF and stereo cameras in an outdoor environment (Plus) Experience with rendering and synthetic data generation. (Plus) Experience with developing perception systems for robot manipulation. What you’ll do Develop and continuously improve a scalable and robust perception system for mobile manipulation. Implement state of the art techniques for generative models for synthetic data generation. Implement algorithms and train models for object detection and pose estimation in point clouds and images. Set up metrics for tracking model performance and create plans for improvement. Collaborate with, learn from, and support a diverse and cross-functional team. Raise Robotics is an Equal Opportunity Employer, committed to creating a diverse and inclusive company culture, and does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other protected status under the law. #J-18808-Ljbffr