2 months ago
Base Salary
$350k - $500k/yr
Responsibilities
- Own the design and evolution of perception systems covering detection, classification, tracking, and multimodal sensor fusion.
- Own prediction systems for intent inference, behavior forecasting, occlusion handling, and edge cases.
- Own planning and decision-making systems for structured driving behaviors and autonomous ground-support-equipment maneuvers.
- Set technical direction at the interfaces among perception, prediction, planning, and the rest of the 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 for safety-relevant systems operating on vehicles.
- Set technical direction for the application of deep learning across autonomy pipelines.
- Mentor senior and staff engineers and influence the autonomy organization without direct reports.
Requirements
- 15+ years of hands-on experience building production autonomy systems across multiple modules such as localization, perception, prediction, planning, and controls.
- Demonstrated experience shipping autonomy components that operated in production on real vehicles at non-trivial scale.
- Prior experience as the most senior individual contributor in an autonomy organization, setting direction and mentoring senior engineers without managing a team.
- Deep technical expertise in perception, prediction, or planning, ideally across 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 compute, 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 with operational design domains involving humans, mixed traffic, or unstructured environments.
- Preferred familiarity with simulation-driven verification and simulation in a CI/CD pipeline for autonomy.
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.