Key Responsibilities

• Design, develop, and maintain core robotic software components in alignment with system architecture and engineering standards.
• Developed and streamlined multi-sensor calibration pipelines to improve measurement accuracy and robustness for state estimation, ensuring consistent alignment across IMU, GPS, LiDAR, and camera systems.
• Implement and optimize state estimation for localization, mapping, and navigation.
• Participate in system architecture design reviews and technical documentation.
• Debug, profile, and optimize system performance in both simulation and real-world deployments.
• Collaborate closely with hardware, perception, and controls teams to ensure seamless end-to-end system integration.
• Perform code reviews and contribute to continuous improvement of software quality and robustness.
• Support field testing, data analysis, and iterative improvement of robotic behaviors and autonomy features.
• Analyze performance data and contribute to long-term system optimization and stability.

Nice-to-Have Skills

• Experience with robotics simulation tools such as Gazebo.
• Hands-on experience with SLAM systems, including mapping, localization, and loop closure (e.g., LiDAR- or vision-based SLAM).
• Worked hands-on with multi-modal sensor systems including wheel encoders, LiDAR, GPS/GNSS, and cameras, performing integration, synchronization, and validation for state estimation pipelines.
• Background in robot perception, including camera and LiDAR-based processing pipelines.
• Experience working with navigation stacks (e.g., ROS Navigation Stack, Nav2).
• Understanding of software quality, compliance, or validation processes