Autonomy & Machine Learning Engineer

FireSwarm develops aerial systems for wildfire, emergency-response, public-safety, critical-infrastructure, and defence applications. The Autonomy & Machine Learning Engineer develops, validates, and deploys autonomous, perception, computer vision, and machine learning capabilities for aerial systems, working across simulation, software development, systems integration, flight testing, and operational analysis.

Responsibilities:

• Design and implement bounded autonomous mission behaviours
• Develop software supporting mission execution, operator decision support, and increasing levels of operational autonomy
• Contribute to and extend perception, state estimation, and environmental understanding capabilities across FireSwarm autonomy systems
• Develop, evaluate, and deploy computer vision and machine learning capabilities supporting detection, classification, localization, tracking, and mission-effect evaluation
• Support autonomous operation under degraded communications, uncertain sensor inputs, and changing environmental conditions
• Develop and maintain mission-critical onboard software components
• Implement technical mechanisms that satisfy operator-facing requirements for autonomy state, confidence, and explainability
• Develop, maintain, and execute simulation-based validation activities supporting autonomy and perception capabilities
• Support software-in-the-loop and hardware-in-the-loop testing
• Analyze flight logs, recorded mission data, and operational results
• Investigate failures and implement corrective improvements
• Define technical acceptance criteria and regression tests for new autonomous capabilities
• Integrate autonomy and perception capabilities with aircraft, payloads, sensors, communications systems, and ground systems
• Support sensor integration, calibration, and coordinate-frame alignment
• Work with communications, navigation, geospatial, and mission-management systems
• Contribute to flight-test preparation, execution, and post-flight analysis
• Design and maintain production-quality software for operational aircraft systems
• Participate in architecture discussions, design reviews, and technical planning
• Write testable, maintainable, and well-documented code
• Contribute to engineering standards, peer reviews, and automated validation practices