Senior Robotics Navigation Engineer

About the Company

Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software. Our mission is to democratize robotics by lowering the barrier to entry and cultivating an open ecosystem that accelerates the evolution of physical AI.

Responsibilities

• Design, implement, and deploy production-grade 3D SLAM and localization systems fusing data from LiDAR, RGB-D cameras, IMUs, and wheel encoders
• Build and maintain state estimation pipelines using Kalman Filters or Factor Graph backends
• Develop real-time 3D navigation algorithms including costmap generation and path planners
• Implement sensor calibration pipelines for multi-sensor rigs
• Design evaluation and regression frameworks including logging, metrics, and replay tooling
• Collaborate with perception, controls, and hardware teams to integrate the navigation stack
• Troubleshoot field failures and perform root cause analysis
• Mentor junior engineers and contribute to technical roadmap planning

Requirements

• 5+ years of industry experience in robotics autonomy (SLAM, localization, or state estimation)
• Proven track record of deploying navigation or SLAM systems on real autonomous platforms
• Deep command of probabilistic robotics, Bayesian filtering, and non-linear optimization
• Hands-on experience with 3D SLAM modalities (LiDAR SLAM, VSLAM, or VIO)
• Proficiency in C++ (C++14/17 or newer)
• Experience with optimization libraries like GTSAM, Ceres Solver, or g2o
• Familiarity with ROS/ROS 2 and standard robotics tooling

Preferred Qualifications

• M.S. or Ph.D. in Robotics, Computer Science, or Electrical Engineering
• Experience with learning-based or hybrid approaches to localization
• Background in semantic SLAM or scene understanding
• Experience with GPU acceleration (CUDA)
• GNSS/RTK fusion experience
• Contributions to open-source SLAM or navigation frameworks