Teams at AeroVect

Perform system and hardware safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, FMEDA, diagnostic coverage, PMHF, and failure-rate modeling. Derive and trace safety requirements for supervised and driverless autonomy, evaluate sensors, actuators, compute hardware, and power systems, and support safety cases for airport deployment. Collaborate with systems, software, robotics, hardware, and test teams to integrate and verify safety requirements.

Architect and deploy multimodal 2D/3D object detection systems using camera, LiDAR, and radar. Build data collection, evaluation, and proprietary dataset pipelines; train, monitor, and improve production perception models; develop the perception roadmap; and mentor junior engineers. The role requires end-to-end perception stack experience, cross-functional leadership, Python proficiency, and advanced education in computer science, robotics, or deep learning.

Designs and implements behavior planning algorithms for autonomous vehicles operating in structured, low-speed 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 system performance, and collaborating with autonomy and engineering teams. The role requires expertise in behavior planning, probabilistic models, real-time navigation, debugging, profiling, and scalable software architecture.