Senior Robot Localization and Mapping Engineer

Job Title: Senior Robot Localization and Mapping Engineer

Location: San Jose, CAAbout UsIntuitive 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 OverviewWe’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 ResponsibilitiesDevelop and productize LiDAR and visual-inertial SLAM, global localization, relocalization, loop closure detection, and pose graph optimizationFuse LiDAR, camera, IMU, wheel odometry, GNSS, and UWB data for robust localizationBuild map compression, version management, cloud delivery, and multi-robot map sharing and update capabilitiesDevelop sensor calibration and time synchronization, including camera–IMU, LiDAR–IMU, multi-camera, and wheel odometry extrinsic calibrationDeploy, accelerate, and stabilize algorithms on NVIDIA platforms such as Jetson OrinBuild simulation and real-robot test loops for dynamic environments, low-texture scenes, long corridors, and glass wallsIntegrate localization and mapping outputs with perception, navigation, planning, control, and systems teams to meet latency, accuracy, and robustness requirementsEvaluate advances in semantic SLAM, collaborative SLAM, learning-based localization, and NeRF / 3D Gaussian Splatting (3DGS) mappingMentor junior engineers, participate in technical reviews, and share knowledge across the teamQualificationsBachelor’s degree or higher in a related field and at least 3 years of industry experienceStrong C++ and Python skills, with solid engineering practices and coding standardsSolid foundation in probabilistic robotics, state estimation, and optimization, including EKF variants, particle filters, and factor graphsFamiliarity with at least one SLAM framework, such as Cartographer, LIO-SAM, FAST-LIO, LOAM, ORB-SLAM, VINS, OpenVINS, or RTAB-MapFamiliarity with ROS 2, Linux, CMake, Git, and libraries such as PCL, OpenCV, Eigen, Ceres, GTSAM, and g2oExperience in point cloud processing, visual or multi-view geometry, or sensor calibrationExperience with dynamic environments, semantic SLAM, or 3DGS mappingExperience deploying and optimizing algorithms on embedded platformsBonus PointsExperience bringing robots to scaled production and real-world deploymentsExperience with multi-robot collaborative mapping or long-term map maintenancePublications at ICRA, IROS, RSS, CVPR, T-RO, or related venuesWhat We OfferCompetitive salary + equityAccess to cutting-edge robotics & AI toolsMentorship from industry expertsCollaborative, mission-driven cultureTo Apply: Send your resume to hiring@intuitiveautonomy.com