Jobs at AeroVect

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.

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.

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.

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.