Senior Perception Software Engineer - LIDAR Focus, Clarksburg

Company Overview: Robotic Research has provided vehicle autonomy solutions for over 20 years and is a global leader in self-driving technology. Our AutoDrive® autonomy kit is designed to tackle the industry’s greatest challenges from GPS-denied environments to mixed-traffic and unpaved roads. The commercial division, RR.AI, works with trusted OEM partners to deliver these autonomous solutions across the United States, Canada, Australia, Europe, and Saudi Arabia. The defense division of Robotic Research designs and implements solutions that improve the efficiency and effectiveness of logistics, enhance situational awareness, and save lives by extending the warfighter’s reach through transformable robots, automated vehicles, and GPS-denied localization devices. We offer a fast-paced environment where innovation comes first, and a breadth and depth of skills, knowledge, and interests are highly valued. We are leading this dynamic revolution in technology with team members throughout the U.S including our main offices in Clarksburg, MD andSan Antonio, TX. Citizenship Requirements: Due to the type of information accessible in this position, all applicants must be U.S citizens and nationals, lawful permanent and temporary U.S. residents, and lawful asylees and refugees. Candidates requiring visa sponsorship will not be considered for this position. Position Responsibilities: The Senior Perception Software Engineer - LIDAR Focus will be responsible for… Designing and developing state-of-the-art software to support perception awareness, objection detection, object classification, sensor calibration methods, and simultaneous multi-object tracking in the LIDAR domain Designing and field perception algorithms in real world conditions Supporting perception efforts across robots deployed in various locations around the world Implementing, tuning, and testing novel algorithms to enhance components such as filtering, segmentation,object classification, terrain classification, clustering, and tracking Required Skills and Abilities: Strong proficiency in programming skills (e.g. C++, python) Experience in developing real-time robotic algorithms Theoretical understanding of object detection, segmentation, probabilistic algorithms, optimization, and/or deep learning Education and Experience: Master’s or PhD in computer science, robotics, or related field, or with equivalent industrial experience 2 years of similar academic and/or professional working experience Preferred Qualifications: Hands-on experiences on autonomous vehicles or ground wheel robots, especially those deployed in urban environments. Experience with standard 3D point cloud manipulation techniques Knowledge of state-of-the-art state estimation and tracking algorithms Experience with any open-source deep learning frameworks Robotic Research is excited to offer the following benefits: Company holidays Flex time Paid time off Health benefits including competitive medical, dental, vision plans 401k employer matchup to 4% Employer paid short-term and long-term disability insurance Employer paid basic life insurance Voluntary life insurance Relocation reimbursement for qualifying situations Tuition reimbursement Discretional annual bonus and profit sharing Employee Assistance Program All benefits are subject to change. Please discuss with a member of the Robotic Research HR team for details. Employment is conditioned upon successful completion of a thorough background screening and drug test. [JB1] Diversity and Equal Opportunity Statement: At Robotic Research, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain curious&highly qualified individuals representing a variety of backgrounds, cultures, skills&perspectives. Robotic Research is committed to building a diverse team and is proud to be and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, marital status, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.