Venti Technologies - Staff Research Scientist, Localization and Mapping
Requirements
• Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on localization and/or mapping for autonomous systems. • 7+ years of experience in robotics, autonomous vehicles, or localization/mapping systems • Strong proficiency in C++, GPU programming, and experience with real-time robotic systems (preferably familiar with ROS/ROS2) • Deep understanding of: • SLAM algorithms • Sensor fusion including Lidar, Camera, GNSS-INS • State estimation including Kalman Filters • Lidar and visual odometry methods • HD mapping systems, including tool development and data pipelines • Machine learning approaches for localization and map features/semantics • Sensor calibration and degradations/maintenance in real outdoor robotics deployments • Safety critical software development processes including simulation regression testing and fleet-scale release validation • Influence & Mentorship: Demonstrated experience mentoring junior/mid-level engineers, guiding technical direction, and contributing to organizational growth through technical excellence. • Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.
Responsibilities
• Lead the design and development of localization and mapping systems for autonomous logistics vehicles • Architect scalable and automated HD map generation, maintenance, regression and deployment pipelines • Develop robust multi-sensor localization solutions using LiDAR, GNSS, IMU, cameras, and wheel odometry • Improve localization accuracy and reliability in GPS-denied or dynamic industrial environments with GPS interference. • Define software architecture, performance metrics, testing strategies, and deployment standards • Collaborate with perception, planning, systems, software infrastructure, and data software & services teams to integrate localization and maps into the autonomy stack • Drive technical roadmap, project prioritization, and engineering execution • Support field testing, debugging, and deployment activities
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