Senior Software Engineer, Simulation

Location: Italy, Toronto, Canada, Poland, United Kingdom, London, UK, or Atlanta, USA

Company

AeroVect is a Series A company developing autonomous ground-handling systems for airlines and ground service providers.

What you will do

• Build and extend simulation environments, including production autonomy-stack integration, vehicle and actor models, and environmental and operational conditions.
• Maintain simulation fidelity as the autonomy stack evolves and address differences between simulated and real inputs.
• Build and operate cloud-based scenario execution with orchestration, parallelism, result aggregation, artifact capture, and runtime cost modelling.
• Develop evaluation layers with precise assertions and pass/fail criteria for release gating.
• Create failure-triage tooling, including failure clustering, recordings, and dashboards for autonomy engineers.
• Extend scenario-authoring tools across backend and frontend while improving determinism, reproducibility, pipeline performance, and site coverage.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Strong Python skills and experience maintaining code in a shared codebase.
• Hands-on simulation experience for autonomous systems and familiarity with platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, Isaac Sim, Gazebo, or proprietary simulators.
• Knowledge of simulation, modelling, and validation methodology, including the use of simulated results to support real-world behaviour claims.
• Experience with Docker, Linux, distributed systems, GPU-based simulation environments, CI/CD, and cloud execution.
• Experience analyzing simulation telemetry, debugging and profiling distributed GPU-bound systems, and integrating automated end-to-end validation into CI.

Nice to have

• Master’s degree in Computer Science, Robotics, or a related field.
• Experience with safety-critical systems in autonomous driving, aerospace, or robotics.
• Experience with autonomous vehicle software stacks such as ROS or ROS2.
• Experience with sensor modelling, environment generation, perception ground-truth pipelines, or large-scale distributed simulation.
• Exposure to log re-simulation, flake reduction, determinism debugging, golden-output comparison, or safety standards including ISO 26262, ISO 21448, UL4600, and ISO 13849.

Culture & Benefits

• Work on autonomy systems used in aviation ground operations.
• Collaborate on simulation, validation, and autonomy engineering foundations.
• Contribute to tooling that supports reliable release decisions and safety-critical validation.