Ingénieur Logiciel en Autonomie / Autonomy Software Engineer

The role

You will develop intelligent path planning algorithms for drones to operate autonomously in complex atmospheric conditions. You will work with the CTO to design weather-aware routing systems and flight performance models.

What you will do

• 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

Required qualifications

• 3+ years experience in developing 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 into planning systems
• Strong proficiency in Python and C/C++
• Solid software engineering fundamentals and commitment to clean, maintainable code
• Experience with automated testing and containerization (Docker)
• Comfortable with version control (Git) and collaborative development workflows
• Willingness to learn Golang quickly and contribute to backend services
• Willingness to contribute to frontend work (Vue3/CesiumJS) and cloud deployments

Nice to have

• Degree in Aerospace Engineering, Robotics, Computer Science, or related field
• Background in meteorology, atmospheric science, or weather modeling
• Experience with meteorological data formats (NetCDF, GRIB) and numerical weather prediction models
• Knowledge of robotics frameworks (ROS/ROS2) or flight controllers (PX4, Ardupilot)
• Experience with simulation environments (Gazebo, jsbSim, X-Plane)
• Previous work in UAV, autonomous vehicles, or robotics industry
• Published research in path planning, motion planning, or trajectory optimization
• Familiarity with geospatial libraries (GDAL, GeoPandas, PostGIS)
• Understanding of airspace regulations and aviation standards

Before you apply

• Only candidates with an appropriate Canadian work visa will be considered

About the company

Shearwater develops a full autonomy framework enabling drones to make intelligent flight decisions onboard without human intervention.