Software Engineer - Federal Mission Workflows

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Software Engineer -  Mission Workflows to maintain and develop robot user workflows for wheeled robotic platforms across both federal and commercial programs

As a Software Engineer -  Mission Workflows at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.

As a Software Engineer -  Mission Workflows, 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.

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  Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and control.

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  Integrate and calibrate multi-modal sensors (LiDAR, thermal, RGB, GPS, IMU) for use in autonomous missions.

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  Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic.

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  Implement and optimize real-time data processing pipelines using C++ and Python.

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  Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making.

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  Design and test autonomous behavior on physical platforms in real-world field scenarios.

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  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.