AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers.

We are hiring a Principal Engineer for Autonomy — the senior-most individual contributor in our autonomy organization. You will have the deepest hands-on technical ownership of one or more of Perception, Prediction, and Planning, with cross-stack influence across the rest of the autonomy stack. You will report directly to the VP of Engineering, with no direct reports of your own, but with the expectation that you set technical direction the rest of the autonomy team follows.

We are looking for someone who is excellent both at the systems level and at execution — a senior IC with the technical depth to anchor the hardest decisions in autonomy and the bias for shipping to convert those decisions into running code on a vehicle. Drive perception robustness across the long tail of real-world operating conditions, and set the direction for where and how deep learning is best applied across the perception pipeline. Set the direction for how prediction integrates with perception upstream and planning downstream.

Planning. Own the design of the planning and decision-making stack, from structured driving behaviors to the domain-specific maneuvers required for autonomous GSE operations. Set the technical direction at the interfaces between your primary areas and the rest of the stack, and partner with the other senior engineers in autonomy to keep the system coherent end-to-end.

Own the functional and SW architecture of the autonomy stack,



and partner with neighboring teams towards its implementation. 15+ years of hands-on experience building production autonomy systems, with strong technical depth across multiple modules (localization, perception, prediction, planning, controls). Demonstrated track record of shipping autonomy components that have run in production on real vehicles at non-trivial scale — not just research prototypes or simulation results. ~ Prior experience as the most senior individual contributor in an autonomy organization — setting direction, mentoring staff/senior engineers, and partnering with engineering leadership without managing a team yourself. ~ Deepest technical depth in perception, prediction, or planning (ideally more than one of the three). ~ Strong software engineering fundamentals in C++ and Python. You write or review code that other senior engineers want to extend and trust in a safety-relevant system. ~ Fluency with contemporary deep learning for autonomy, including the practical realities of training, evaluation, deployment, and lifecycle management of models that have to work in the real world. ~ You ship.

Familiarity with simulation-driven verification and the use of simulation as part of a CI/CD pipeline for autonomy. Airports are one of the few environments where commercial autonomy is genuinely viable today and where the path to removing the safety driver is concrete rather than speculative. This is the senior autonomy IC role at AeroVect.

You are the senior-most technical voice across Perception, Prediction, and Planning, with cross-stack influence across the rest of the autonomy stack. A defined path to scale, not a science project. A real commercial deployment with a concrete path to removing the safety driver and scaling the fleet.

📌 Principal Engineer, Autonomy (Toronto)
🏢 AeroVect
📍 Toronto