Lead Robotics Perception SLAM Engineer (3D LiDAR)

Peppermint Robotics; United States; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Peppermint Robotics, an autonomous robotics company, seeks a Lead Robotics Perception Engineer - SLAM to drive 3D LiDAR-based SLAM development for real-world deployments. The role emphasizes leadership, mentoring, and collaboration with perception, controls, and navigation teams.

The candidate will optimize SLAM on resource-constrained hardware, integrate with IMU and vision systems, and contribute to ongoing sensor selection and system validation across diverse environments, with international

Qualifications

• Master’s degree in Robotics, CS, EE or related field with SLAM publications.
• Years of SLAM software development experience in robotics.
• Expertise in 3D LiDAR SLAM, visual SLAM, loop closure, and lifelong mapping.
• Strong knowledge of Lie algebra, probabilistic estimation, sensor fusion, and graph optimization.
• Proficient in C++ and Python on Linux.
• Experience with GTSAM, iSAM2, Ceres, or G2O.
• Familiarity with ROS/ROS2 middleware.

Responsibilities

• Develop robust, real-time SLAM systems using 3D LiDARs, 2D LiDARs, cameras, and other sensors.
• Design factor graph-based optimization pipelines.
• Integrate SLAM with IMU, odometry, and vision systems.
• Test and validate SLAM across diverse deployments.
• Collaborate with perception, controls, and navigation teams.
• Profile and optimize SLAM on embedded compute platforms.
• Mentor junior team members and lead SLAM efforts.
• Oversee sensor selection with other leads.
• Overlap with IST for India-based collaboration and occasional travel.

Skills

3D LiDAR SLAM

C++ and Python

ROS/ROS2

Sensor Fusion

Education

Master's degree in Robotics/CS/EE

Tools

GTSAM

iSAM2

Ceres Solver

G2O

PCL

Open3D

ROS/ROS2

Job description

Peppermint Robotics, an autonomous robotics company, seeks a Lead Robotics Perception Engineer - SLAM to drive 3D LiDAR-based SLAM development for real-world deployments. The role emphasizes leadership, mentoring, and collaboration with perception, controls, and navigation teams.

The candidate will optimize SLAM on resource-constrained hardware, integrate with IMU and vision systems, and contribute to ongoing sensor selection and system validation across diverse environments, with international