Staff Research Scientist, Localization and Mapping

About the Company

Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms.

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
• Define software architecture, performance metrics, testing strategies, and deployment standards
• Collaborate with perception, planning, systems, and software infrastructure teams
• Drive technical roadmap, project prioritization, and engineering execution
• Support field testing, debugging, and deployment activities

Requirements

• Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field
• 7+ years of experience in robotics, autonomous vehicles, or localization/mapping systems
• Strong proficiency in C++ and GPU programming
• Experience with real-time robotic systems (ROS/ROS2 preferred)
• Deep understanding of SLAM algorithms and sensor fusion (Lidar, Camera, GNSS-INS)
• Expertise in state estimation, Kalman Filters, and Lidar/visual odometry
• Experience with HD mapping systems and data pipelines
• Knowledge of machine learning for localization and map semantics
• Experience with safety-critical software development and simulation regression testing
• Proven experience mentoring junior and mid-level engineers