Senior Software Engineer, Simulation

About the Company

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving.

Responsibilities

• Build and extend the capabilities of the simulation environment, including integration with the production autonomy stack and vehicle/actor models
• Maintain and improve integration as the autonomy stack evolves, focusing on fidelity work
• Build and operate scenario execution in the cloud, including orchestration, parallelism, and runtime cost modelling
• Build and extend the evaluation layer to turn runs into precise pass/fail verdicts
• Develop failure-triage tooling such as failure clustering and dashboards
• Extend scenario authoring tooling used by the V&V team across backend and frontend
• Maintain simulation foundations including determinism, reproducibility, and pipeline performance

Requirements

• Bachelor's in Computer Science, Electrical Engineering, Robotics, or a related field
• Strong Python skills with a track record of maintainable code
• Hands-on simulation experience for autonomous systems (e.g., CARLA, Applied Intuition, NVIDIA Omniverse, Gazebo)
• Working knowledge of simulation, modelling, and validation methodology
• Proficiency with Docker, Linux, and distributed-systems fundamentals
• Experience with GPU-based simulation environments
• Experience with CI/CD and cloud execution for automated test workflows
• Ability to analyze simulation output and telemetry to identify bottlenecks and failure modes
• Debugging and profiling skills for distributed, GPU-bound systems

Preferred Qualifications

• Master's in Computer Science, Robotics, or a related field
• Experience designing and validating safety-critical systems in autonomous driving, aerospace, or robotics
• Experience with autonomous vehicle software stacks (ROS/ROS2)
• Experience with cloud-based simulation infrastructure and large-scale distributed test execution
• Expertise in sensor modelling (camera, lidar, radar) or perception ground-truth pipelines
• Experience with log/bag re-simulation from recorded real-world data
• Exposure to safety standards such as ISO 26262, ISO 21448, or UL4600