Software Engineer - Mission Autonomy

Field AI is seeking an innovative Senior Software Engineer for Mission Autonomy to play a vital role in the development of highly advanced robotic and AI systems by designing and implementing intelligent decision-making frameworks.

Your contribution is essential to advancing our autonomous robotic platforms and delivering cutting-edge AI-driven solutions to customers.

This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment.

• Semantic Scene Graph & Navigation: Develop and integrate a semantic scene graph world model to enable real-time spatial reasoning, context-aware mission planning, and natural language-driven robotic navigation.
• LLM API & Mission Autonomy Integration: Design and implement API frameworks that allow Large Language Models (LLMs) to interface with robotic autonomy stacks, enabling seamless language-based mission execution and feedback handling.
• Testing & Validation Frameworks: Maintain and expand the robotics testing framework through the development of unit and integration tests to ensure system reliability, safety, and performance.
• PhD in Computer Science or a related field.
• Advanced proficiency in Python programming, C++, ROS, Linux, Git
• 5+ years experience with product level AI software (e.g. state machines, behavior trees)
• Ability to effectively and efficiently communicate with all teams
• Strong problem-solving skills and proven ability to navigate complex software systems
• Strong work ethic, highly self-motivated, and able to work independently while managing multiple priorities
• Proficiency in C++ programming
• Experience with simulation environments (e.g., Gazebo, Isaac Sim)
• Experience with LLM-based decision-making frameworks in robotic systems

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments.

Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.