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.

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.

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.

Seeking a Staff Cloud Software Engineer to architect and manage scalable cloud systems on AWS, improve security, and mentor engineers.

The Founding Associate will support AeroVect's sales and marketing efforts by creating customer-facing materials, managing contracts, updating the CRM, and facilitating customer communications throughout the sales cycle.

The Senior Reliability Engineer will establish AeroVect's reliability engineering practice, leading reliability analyses and managing external testing programs to ensure product durability and performance across operational environments.

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

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.

The Principal Engineer, Hardware will lead design, integration, and manufacturing of autonomous vehicle systems, ensuring reliability and compliance with safety standards across mechanical and electrical disciplines.

The Chief of Staff will drive project execution, manage leadership schedules, provide strategic insights, and enhance operational efficiency while facilitating team collaboration.

Build and maintain robotics data pipelines, curate and version large-scale sensor datasets, configure ML training workflows, optimize cloud costs, and develop tools for perception engineers. Responsibilities include dataset management, experiment reproducibility, automated evaluation, and metrics for dataset health, model performance, and pipeline reliability.

Develop and deploy 2D and 3D perception models using camera, LiDAR, and radar data. Build data collection, labeling, evaluation, and multimodal dataset pipelines; architect deterministic secondary perception systems; monitor deployed models; and mentor junior engineers. The role requires strong Python, C++, and ROS2 skills, with preferred experience in autonomous robotics and CUDA kernel development.

Lead sourcing and recruiting of technical hardware talent by partnering with founders and engineering leaders. Build strong pipelines, use creative sourcing (events, networking, marketing), manage ATS, and deliver a high-quality candidate experience to support rapid scaling.

Lead end-to-end hardware organization for AeroVect vehicle platforms across mechanical, electrical, and electromechanical domains. Own hardware roadmap, architecture, drive-by-wire and safety-critical systems, sensor and compute integration, DFM, supplier/CM relationships, and manufacturing scale. Hire and run the hardware organization while remaining hands-on in design reviews and field reliability improvements to enable certified, driverless operation at scale.

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.

Own end-to-end creation, validation, and maintenance of HD maps for autonomous airport tractors. Intake mapping requests, edit maps (lanes, routes, regulatory elements) using Lanelet2/OpenStreetMap tooling and JOSM, submit pull requests through Map CI, validate in simulation and on-vehicle tests, document results, and coordinate vendor map deliveries.

Design and integrate mechanical systems for sensors, computing, and autonomous hardware on production vehicles. Rapidly prototype, test, and iterate designs; lead assembly, validation, and troubleshooting of retrofitted vehicles; collaborate with hardware, software, and systems teams; and mentor junior engineers while ensuring manufacturability and robust production-ready solutions.

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.