Jobs at AeroVect

Own and productionize localization, mapping, calibration, and state-estimation systems for autonomous ground vehicles operating at active airports. Responsibilities include sensor fusion, 3D mapping, calibration, online validation, diagnostics, regression testing, deployment, and safety monitoring. The role provides technical leadership across perception, planning, and platform teams while advancing autonomous operations toward driverless capability.

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.

Architects and deploys multimodal 2D/3D object detection and tracking models using camera, LiDAR, and radar data. Owns perception data collection, dataset development, evaluation pipelines, production monitoring, and the perception system roadmap. The role also requires cross-functional leadership and mentoring junior engineers.

Source and recruit highly competitive technical talent in robotics, autonomy, and hardware. Partner with founders and engineering leaders to understand hiring needs, develop sourcing strategies, build strong candidate pipelines, and deliver a high-quality candidate experience. Use networking, events, marketing, and innovative sourcing techniques while supporting a rapidly scaling startup.

Source and recruit technical talent in robotics, autonomy, and hardware while building strong candidate pipelines. Partner with founders and engineering leaders to align sourcing strategies with hiring goals, use innovative outreach methods including networking and events, and help deliver a high-quality candidate experience in a fast-growing startup environment.

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.

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.

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.

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.

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.