What You Will Get To Do
- 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.
What You Have
- 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.
What Will Set You Apart
- 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.
Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience.
In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.

