Senior Software Engineer, ROS Engineer

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

As a ROS Developer, you will play a critical role in developing advanced robotic applications built on our autonomy API for diverse real-world industries, including oil & gas, construction, and mining. You will focus on designing, implementing, and optimizing perception, localization, and control modules using ROS/ROS2 to create production-grade software for autonomous systems operating in some of the world's harshest environments. This role is ideal for engineers passionate about sensor integration, robust system development, and deploying scalable autonomy solutions tailored to high-impact industrial applications.

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.

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.

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