SLAM Engineer

Job Description

Location: Pune Qualification: Bachelor's degree in Robotics, Computer science, Electrical engineering, or related field. Role Overview: We are seeking a Senior SLAM Engineer to join our core autonomy team. This role will focus on developing and optimizing 3D LiDAR-based SLAM solutions, enabling reliable and accurate localization and mapping for autonomous robots deployed across complex, real-world environments. Preferred Qualifications: Experience with loop closure, global mapping, and multi-session SLAM. Familiarity with PCL, Open3D, or similar libraries for point cloud processing. Contributions to open-source SLAM projects or publications in leading robotics conferences (e.g., ICRA, IROS, RSS). Knowledge of embedded systems and performance optimization on resource- constrained hardware. Experience working with remote or distributed robotics teams. Responsibilities: Develop robust, real-time SLAM systems using 3D LiDARs and other onboard sensors. Design and implement factor graph-based optimization pipelines (e.g., GTSAM, Ceres, iSAM2). Integrate SLAM with IMU, wheel odometry, and vision-based systems for sensor fusion. Continuously test and validate SLAM modules across diverse real-world deployments — including crowded airports, large malls, and hospitals. Collaborate closely with perception, controls, and navigation teams to ensure seamless robot autonomy. Profile and optimize SLAM performance for embedded compute platforms. Contribute to the long-term SLAM roadmap and evaluation infrastructure. Minimum Qualifications: Bachelor’s degree in Robotics, Computer Science, Electrical Engineering, or a related field. 3+ years of hands-on experience developing SLAM systems for autonomous robots. Proven expertise with 3D LiDAR-based SLAM in large, dynamic indoor environments. Strong grasp of probabilistic estimation, sensor fusion, and graph optimization. Proficient in C++ and Python in a Linux-based development environment. Experience with GTSAM, iSAM2, or Ceres Solver. Familiarity with ROS/ROS2 and standard robotics middleware. A track record of deploying SLAM solutions in real-world applications. Job Types: Full-time, Permanent Pay: Up to ₹1,500,000.00 per year Schedule: Day shift Education: Bachelor's (Preferred) Experience: SLAM: 2 years (Required) GTSAM, iSAM2, or Ceres Solver.: 2 years (Required) C++ and Python in a Linux-based development environment.: 2 years (Preferred) Location: Pune, Maharashtra (Required) Work Location: In person