Teams at AeroVect

Designs and implements behavior-planning algorithms for autonomous vehicles operating in structured airport environments. Responsibilities include developing C++ and Python software, modeling multi-agent interactions, implementing decision-making and path-planning methods, testing in simulation and real-world scenarios, optimizing performance, documenting systems, and collaborating with autonomy and engineering teams.

Lead verification and validation for safety-critical autonomous ground support vehicles across simulation, closed-course, and live airport environments. Develop test plans, execute manual and automated testing, analyze sensor and diagnostic data, investigate failures, validate fixes, and support release readiness. Build automation and reporting tools, maintain regression tracking, collaborate with autonomy and hardware teams, and mentor engineers in test-driven development.

Own end-to-end delivery of AeroVect’s flagship Atlanta Airport autonomous vehicle program from planning through launch and steady-state operations. Drive schedules, milestones, risks, dependencies, governance, stakeholder alignment, and launch readiness across Engineering, Systems, Safety, and Operations. Serve as the primary liaison between engineering and operations leadership, while helping establish TPM processes, tooling, templates, and cross-program standards.