Senior/Staff Software Engineer, Localization and Mapping Mountain View, CA
2 days ago
Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.
About the roleWe are seeking a Senior/Staff Software Engineer to join our Localization and mapping team to build state-of-the-art mapping pipelines that combine data from a wide variety of sensors, as well as localization algorithms that make use of these maps in real time. You will play a critical part in building robust, real-time localization solutions, leveraging lidar-based odometry to achieve high accuracy in diverse and challenging environments.
This role is onsite at our Mountain View, CA office.
What you'll do- Design, develop, and optimize lidar-based localization and odometry algorithms to improve the positioning accuracy of autonomous vehicles.
- Implement algorithms for sensor fusion, utilizing data from Lidar, IMU, GPS, and other sensors to create a robust, reliable localization pipeline.
- Develop and integrate real-time SLAM and point cloud processing techniques for both structured and unstructured environments.
- Collaborate closely with perception, mapping, and control teams to ensure the seamless integration of localization outputs within the autonomous driving stack.
- Conduct rigorous testing and validation in both simulation environments and real-world scenarios, focusing on challenging conditions like urban and unstructured environments.
- Analyze and debug complex issues in localization, implementing improvements based on both field test data and user feedback.
- Research state-of-the-art techniques in Lidar-based localization, keeping the localization stack up-to-date with advancements in sensor processing and computational efficiency.
- Contribute to performance benchmarking, tuning, and continuous improvement efforts to meet real-time constraints and increase system robustness.
- Master’s or Bachelor’s degree in Robotics, Computer Science, Electrical Engineering, or a related field.
- 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs etc.
- Experience in developing localization algorithms for autonomous vehicles or robotic systems, with a strong focus on lidar odometry and SLAM.
- Proficiency in C++ and Python, with hands-on experience in ROS/ROS2 and point cloud processing libraries (e.g., PCL).
- Experience with pose estimation, SLAM, probabilistic filtering, non-linear optimization and 3D data.
- Practical experience in processing large-scale and real-world data.
- Experience implementing mathematical principles effectively in software; experienced in Eigen, Ceres/G2O/GTSAM, Boost, etc.
- Expert-level knowledge of SLAM - frontend and backend, point cloud registration, GNSS/INS.
- Experience with sensor fusion techniques, particularly integrating Lidar, IMU, and GPS data for enhanced localization accuracy.
- Experience with performance optimization and real-time system requirements.
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