Jobs at AeroVect

Owns safe deployment and release processes for autonomous ground support equipment and vehicle software. Responsibilities include approving deployments across operational design domains, commissioning new autonomous vehicles, managing software release gates and validation, scheduling fleet updates, maintaining vehicle configurations, leading change-control reviews, and documenting changes for regulators and customers. The role partners cross-functionally with Engineering, Safety, Systems, and Product teams to ensure reliable, data-driven, safety-critical operations.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground support vehicles operating in airport environments. Responsibilities include selecting algorithms, defining planning-stack architecture, prototyping optimization and search-based approaches, collaborating with perception, controls, localization, and systems teams, promoting functional safety practices, and mentoring engineers.

Performs software and system safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, freedom-from-interference, and code-level hazard evaluations. Derives and traces safety requirements, defines fail-safe mechanisms, reviews safety-critical C++ and Python code, supports safety-case development, and collaborates with robotics, hardware, systems, software, and test teams to verify compliance and enable airport deployment.

The role involves architecting 3D object detection models, managing data pipelines, developing datasets for training, and mentoring junior engineers.

Own and productionize core localization systems (state estimation, mapping, calibration). Build monitoring, diagnostics, validation, and deployment tooling. Integrate sensors, tune performance, run regression testing, and iterate using data from real autonomous airport operations to enable driverless capability.

Design, build, and maintain cloud-based data pipelines and infrastructure on AWS, integrating on-prem and cloud flows. Implement IaC, CI/CD, containerization, observability, and automation to ensure high-throughput, reliable data ingestion and processing for autonomous systems.

Own and extend simulation tooling for autonomy: integrate simulators with the production autonomy stack, ensure determinism and reproducibility, run large-scale cloud scenario execution, build evaluation and triage tooling, author scenarios, and maintain pipeline performance and coverage for V&V and release gating.

Lead system safety engineering for autonomous ground vehicles: perform hazard analyses (HARA, FMEA, FTA, STPA), FMEDA and PMHF, calculate failure rates per industry standards, derive and trace functional and hardware safety requirements for supervised and driverless operation, evaluate sensors and drive-by-wire architectures, and support safety case evidence for airport deployment.