Autonomy Software Engineer

Responsibilities

• Design and implement path planning algorithms integrating atmospheric data, terrain constraints, and flight performance
• Develop flight performance models accounting for wind, weather, and aircraft dynamics
• Build optimization algorithms for weather-aware route planning and dynamic re-routing
• Implement production-grade autonomy software focused on reliability and real-time performance
• Integrate path planning systems with frontend visualization and backend services
• Contribute to cloud deployment pipelines and infrastructure on Google Cloud Platform

Requirements

• 3+ years of experience in path planning, trajectory optimization, or flight control systems
• Strong understanding of UAV flight dynamics and performance modeling
• Experience with optimization algorithms
• Understanding of atmospheric sciences or weather data integration
• Proficiency in Python and C/C++
• Solid software engineering fundamentals and clean code commitment
• Experience with automated testing and Docker
• Proficiency with Git
• Willingness to learn Golang and contribute to backend/frontend/cloud tasks

Preferred Qualifications

• Degree in Aerospace Engineering, Robotics, Computer Science, or related field
• Background in meteorology or weather modeling
• Experience with NetCDF or GRIB data formats
• Knowledge of ROS/ROS2 or flight controllers like PX4 and Ardupilot
• Experience with simulation environments such as Gazebo, jsbSim, or X-Plane
• Previous experience in UAV, autonomous vehicles, or robotics industries
• Published research in path planning or trajectory optimization
• Familiarity with geospatial libraries like GDAL, GeoPandas, or PostGIS
• Understanding of airspace regulations and aviation standards

About the Company

We're building a full autonomy framework that enables drones to make intelligent flight decisions onboard, without human intervention, using weather-aware route planning and real-time guidance.