Jobs at AeroVect

Senior individual contributor owning technical direction across Perception, Prediction, or Planning for on-vehicle autonomy. Design autonomy architecture, drive robustness, oversee model lifecycle and integration, and convert high-level decisions into production code running at scale on vehicles.

Source and recruit robotics, autonomy, and hardware talent; partner with founders and engineering leaders to build hiring strategies; generate candidate pipelines; own candidate experience; use creative sourcing and ATS tools to scale recruiting for a fast-growing startup.

Lead sourcing and recruiting for robotics, autonomy, and hardware roles. Partner with founders and engineering leaders, build strong candidate pipelines, manage candidate experience, and use ATS and creative sourcing techniques to scale hiring.

Lead design, analysis, and verification/validation of autonomous vehicle subsystems. Develop data pipelines for V&V, author and maintain requirements and architecture artifacts, define safety behaviors, track KPIs, surface risks, collaborate cross-functionally, mentor junior engineers, and support deployments. Up to 25% travel.

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.

Lead and scale the autonomy organization, owning technical strategy and roadmap for perception, prediction, planning, controls, and localization. Manage hiring, operating cadence, and delivery across the autonomy stack, interface with Systems, Safety, Platform, Hardware, Simulation, and Product, and remain hands-on in design reviews and debugging to deliver production autonomy on real vehicles.

Perform software safety lifecycle tasks: hazard analyses (HARA, FMEA, FTA, STPA), derive and trace software safety requirements, review C++/Python/ROS code, define fail-safes, collaborate across teams, and support safety cases for airport deployment per ISO 26262 and SOTIF.

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.