Senior Robot Localization and Mapping Engineer

Job Title: Senior Robot Localization and Mapping Engineer Location: San Jose, CA About Us Intuitive Autonomy is building autonomous caregiving robots to empower safe and independent living for the large aging population. Our team includes experts in robotics, autonomous driving, and large-scale physical AI models, and we collaborate closely with world-leading researchers at Carnegie Mellon University’s Robotics Institute. Join us as we push the boundaries of AI and robotics to transform the hundred-billion-dollar eldercare industry. Role Overview We’re seeking a senior localization and mapping engineer to develop reliable SLAM, state estimation, and mapping capabilities for autonomous robots. You’ll work with perception, navigation, planning, control, and systems teams to deliver accurate, real-time localization in challenging environments. Key Responsibilities Develop and productize LiDAR and visual-inertial SLAM, global localization, relocalization, loop closure detection, and pose graph optimization Fuse LiDAR, camera, IMU, wheel odometry, GNSS, and UWB data for robust localization Build map compression, version management, cloud delivery, and multi-robot map sharing and update capabilities Develop sensor calibration and time synchronization, including camera–IMU, LiDAR–IMU, multi-camera, and wheel odometry extrinsic calibration Deploy, accelerate, and stabilize algorithms on NVIDIA platforms such as Jetson Orin Build simulation and real-robot test loops for dynamic environments, low-texture scenes, long corridors, and glass walls Integrate localization and mapping outputs with perception, navigation, planning, control, and systems teams to meet latency, accuracy, and robustness requirements Evaluate advances in semantic SLAM, collaborative SLAM, learning-based localization, and NeRF / 3D Gaussian Splatting (3DGS) mapping Mentor junior engineers, participate in technical reviews, and share knowledge across the team Qualifications Bachelor’s degree or higher in a related field and at least 3 years of industry experience Strong C++ and Python skills, with solid engineering practices and coding standards Solid foundation in probabilistic robotics, state estimation, and optimization, including EKF variants, particle filters, and factor graphs Familiarity with at least one SLAM framework, such as Cartographer, LIO-SAM, FAST-LIO, LOAM, ORB-SLAM, VINS, OpenVINS, or RTAB-Map Familiarity with ROS 2, Linux, CMake, Git, and libraries such as PCL, OpenCV, Eigen, Ceres, GTSAM, and g2o Experience in point cloud processing, visual or multi-view geometry, or sensor calibration Experience with dynamic environments, semantic SLAM, or 3DGS mapping Experience deploying and optimizing algorithms on embedded platforms Bonus Points Experience bringing robots to scaled production and real-world deployments Experience with multi-robot collaborative mapping or long-term map maintenance Publications at ICRA, IROS, RSS, CVPR, T-RO, or related venues What We Offer Competitive salary + equity Access to cutting-edge robotics & AI tools Mentorship from industry experts Collaborative, mission-driven culture To Apply: Send your resume to hiring@intuitiveautonomy.com