AeroVect

Build the data infrastructure and MLOps tooling that powers perception systems for autonomous ground-handling vehicles. This onsite Toronto role focuses on field-data pipelines, dataset management, training workflows, and reliability metrics.

Build and optimize the embedded Linux software platform powering AeroVect’s autonomous ground vehicle fleet. You’ll work across real-time Ubuntu systems, ROS 2 middleware, device drivers, vehicle interfaces, and production deployment reliability.

Lead the development of multimodal 2D/3D perception systems for autonomous ground-handling vehicles, combining camera, LiDAR, and radar data. This senior technical leadership role owns perception architecture, model deployment, evaluation, and roadmap execution.

Staff Software Engineer responsible for building production-grade mission, behavior, and motion planning systems for autonomous ground support equipment in airport environments. The role combines deep robotics expertise, technical ownership, and mentorship across the autonomy stack.

Senior Software Engineer, Behavior Planning will build decision-making systems for autonomous vehicles operating in complex airport ground environments. The role focuses on behavior and path planning algorithms, real-time navigation, and robust integration across autonomy systems.

AeroVect is seeking a Senior Software Engineer to design and build behavior-planning systems for autonomous vehicles operating in structured, low-speed airport environments. You’ll develop decision-making algorithms in C++ and Python and validate them through simulation and real-world testing.

Staff Software Engineer owning core localization, mapping, and calibration systems for autonomous ground vehicles operating at active airports. The role combines robotics software, sensor fusion, state estimation, and technical leadership to advance systems toward driverless operation.

Senior Software Engineer, Behavior Planning will build decision-making systems for autonomous vehicles operating in complex, low-speed airport environments. The role focuses on behavior planning algorithms, real-time navigation, and robust integration across autonomy systems.