3 months ago
Base Salary
$350k - $500k/yr
Responsibilities
- Own the design and evolution of the perception stack, including detection, classification, tracking, and multimodal sensor fusion.
- Own prediction systems for intent inference, behavior forecasting, occlusions, and edge cases.
- Own planning and decision-making systems for structured driving behaviors and autonomous ground-support-equipment maneuvers.
- Set technical direction across perception, prediction, planning, and their interfaces with the broader autonomy stack.
- Own the functional and software architecture of the autonomy stack and partner with neighboring teams on implementation.
- Ship and review production autonomy code running on real vehicles.
- Mentor staff and senior engineers and partner with engineering leadership without directly managing a team.
Requirements
- 15+ years of hands-on experience building production autonomy systems, with depth across multiple areas such as localization, perception, prediction, planning, and controls.
- Demonstrated experience shipping autonomy components that operated in production on real vehicles at meaningful scale.
- Prior experience serving as the most senior individual contributor in an autonomy organization and setting technical direction.
- Deep technical expertise in perception, prediction, or planning, ideally in more than one area.
- Strong software engineering fundamentals in C++ and Python.
- Experience with modern deep learning for autonomy, including model training, evaluation, deployment, and lifecycle management.
- Experience with ROS or ROS 2 and distributed on-vehicle computing, including real-time constraints, IPC, and fault containment.
- Preferred experience with safety-critical or functional-safety-relevant systems, including ISO 26262, ISO 13849, SOTIF, or aerospace equivalents.
- Preferred experience in operational design domains involving heavy human interaction, mixed traffic, or unstructured environments.
- Preferred familiarity with simulation-driven verification and simulation in a CI/CD pipeline for autonomy.
Benefits
- Work on commercial autonomous ground-handling vehicles operating in airports with a concrete path toward removing the safety driver and scaling the fleet.
- Senior-most autonomy individual contributor scope across perception, prediction, planning, and the full autonomy stack.
- No direct reports, with broad technical leadership and influence across the autonomy organization.
About AeroVect
AeroVect builds autonomous driving systems and software to automate airport ground service equipment, improving ramp logistics for airlines, airports, and ground handling providers. It deploys and supports autonomy for fleets used by major carriers and ground service companies. Founded in 2020 and headquartered in South San Francisco, it is a privately held Series A company.