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About the Role
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers operate. We are seeking a Principal Engineer for Autonomy, the senior-most individual contributor in our autonomy organization. This role offers deep hands-on technical ownership of Perception, Prediction, and Planning, with cross-stack influence and the opportunity to set technical direction for the autonomy team.
Responsibilities
- Own the design and evolution of the perception stack, including detection, classification, tracking, and multi-modal sensor fusion.
- Drive perception robustness across real-world operating conditions and set the direction for deep learning applications in the perception pipeline.
- Own the prediction stack and the design of models for intent inference, behavior forecasting, and handling edge cases.
- Set the direction for how prediction integrates with perception and planning.
- Own the design of the planning and decision-making stack for autonomous GSE operations.
- Set the direction for integrating learned components into the planner.
- Set the technical direction at the interfaces between primary areas and the rest of the stack.
- Partner with other senior engineers in autonomy to ensure system coherence.
- Own the functional and SW architecture of the autonomy stack.
- Partner with neighboring teams towards the implementation of the autonomy stack architecture.
Requirements
- 15+ years of hands-on experience building production autonomy systems.
- Strong technical depth across multiple modules (localization, perception, prediction, planning, controls).
- Ability to think at the level of the autonomy system, not just a single module.
- Demonstrated track record of shipping autonomy components that have run in production on real vehicles at non-trivial scale.
- Prior experience as the most senior individual contributor in an autonomy organization.
- Experience setting technical direction and mentoring staff/senior engineers without managing a team.
- Deepest technical depth in perception, prediction, or planning (ideally more than one).
- Strong software engineering fundamentals in C++ and Python.
- Fluency with modern deep learning for autonomy, including practical realities of model training, evaluation, deployment, and lifecycle management.
- Experience working in or with ROS / ROS 2.
- Experience with the distributed-systems realities of on-vehicle compute (real-time constraints, IPC, fault containment).
- A bias for execution; ability to ship, close out problems, and convert ambiguity into a plan and running code.
Skills
- C++
- Python
- Deep Learning
- ROS / ROS 2
- Perception
- Prediction
- Planning
- Localization
- Controls
- Software Architecture
Location
- Remote
Work Type
- Full-time
Experience Level
- Principal
- Senior
About the Company
- 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.