Senior SLAM & Localization Engineer — Robotics

Nord Resume; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salary + equity

Access to cutting-edge robotics & AI工具

Mentorship from industry experts

Collaborative, mission-driven culture

Job summary

Intuitive Autonomy in San Jose, CA is seeking a Senior Robot Localization and Mapping Engineer to advance SLAM, state estimation, and mapping for autonomous robots. You will integrate LiDAR, camera, IMU data, optimize pose graphs, and deploy on NVIDIA Jetson platforms, collaborating with perception, navigation, and control teams to meet real-time latency and robustness goals.

The ideal candidate has a strong C++/Python background, hands-on ROS 2 experience, and a track record in probabilistic

Qualifications

• Bachelor’s degree or higher in a related field.
• Strong C++ and Python skills with solid engineering practices.
• Experience with probabilistic robotics, state estimation, and optimization.
• Familiarity with SLAM frameworks 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 deploying and optimizing algorithms on embedded platforms.

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.

Skills

C++ programming

Python programming

Probabilistic robotics

State estimation

Optimization

Embedded deployment

Education

Bachelor’s degree or higher in related field

Tools

ROS 2

Linux

CMake

Git

PCL

OpenCV

Eigen

Ceres

GTSAM

g2o

Job description

Intuitive Autonomy in San Jose, CA is seeking a Senior Robot Localization and Mapping Engineer to advance SLAM, state estimation, and mapping for autonomous robots. You will integrate LiDAR, camera, IMU data, optimize pose graphs, and deploy on NVIDIA Jetson platforms, collaborating with perception, navigation, and control teams to meet real-time latency and robustness goals.

The ideal candidate has a strong C++/Python background, hands-on ROS 2 experience, and a track record in probabilistic