Senior Software Engineer, ROS Engineer

Job description

Job responsibilities

• Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and control.
• Integrate and calibrate multi-modal sensors (LiDAR, thermal, RGB, GPS, IMU) for use in autonomous missions.
• Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic.
• Implement and optimize real-time data processing pipelines using C++ and Python.
• Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making.
• Design and test autonomous behavior on physical platforms in real-world field scenarios.
• Troubleshoot robotic systems at the hardware-software interface and develop diagnostics and recovery systems.

Job requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Strong software engineering skills, with proven experience building production-quality robotics applications.
• Expertise in C++ and Python, writing clean, efficient, and maintainable code using modern best practices.
• Hands-on experience developing with ROS/ROS2, including designing, building, and deploying custom nodes into complex robotic systems.
• Solid understanding of localization, SLAM, sensor fusion, and navigation systems.
• Familiarity with sensor integration (LiDAR, thermal, RGB, depth, GPS, IMU) and multi-modal data handling.
• Practical experience with state estimation frameworks and real-time data processing pipelines.
• Comfortable working with system-level topics like networking, inter-process communication (IPC), and middleware.
• Strong problem-solving skills and attention to detail, able to work independently while managing multiple priorities.
• Highly self-motivated, with excellent written and verbal communication skills and a strong collaborative mindset.
• Experience deploying robotic software in production environments (construction, mining, oil & gas, or similar industries).
• Familiarity with noisy sensor data and building robust, resilient algorithms.
• Experience integrating robotic systems with web services, APIs, and cloud infrastructure.
• Background in working with computationally constrained platforms and optimizing for real-time performance.