Senior Software Engineer, Simulation

The role

You will own and extend simulation tooling. You will build simulation environment capabilities, operate cloud-based scenario execution, and build evaluation and failure-triage tooling.

What you will do

• Build and extend the capabilities of the simulation environment
• Maintain and improve integration as the autonomy stack evolves
• Build and operate scenario execution in the cloud
• Build and extend the evaluation layer for release gating
• Build failure-triage tooling
• Extend the scenario authoring tooling used by the V&V team
• Maintain simulation foundations including determinism and reproducibility

Required qualifications

• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
• Strong Python with a track record of maintainable code in a shared codebase
• Hands-on simulation experience for autonomous systems
• Familiarity with simulation platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary in-house simulator
• Working knowledge of simulation, modelling, and validation methodology
• Docker and Linux
• Distributed-systems fundamentals
• Experience with GPU-based simulation environments
• CI/CD and cloud execution
• Experience integrating automated test workflows into CI for end-to-end validation coverage
• Experience analyzing simulation output and telemetry to identify performance bottlenecks and failure modes
• Debugging and profiling skills suited to distributed, GPU-bound systems

Nice to have

• Master’s in Computer Science, Robotics, or related field
• Experience designing and validating safety-critical systems in autonomous driving, aerospace, or robotics
• Experience developing or maintaining autonomous vehicle software stacks (ROS/ROS2)
• Cloud-based simulation infrastructure and large-scale distributed test execution
• Sensor modelling (camera, lidar, radar), environment generation, or perception ground-truth pipelines
• Automated testing, continuous integration, and data-driven validation
• Log/bag re-simulation from recorded real-world data
• Test-signal quality work: flake reduction, determinism debugging, golden-output comparison
• Safety standards exposure: ISO 26262, ISO 21448 (SOTIF), UL4600, ISO 13849

About the company

AeroVect is transforming ground handling with autonomy. It is a Series A company backed by venture capital investors in aviation and autonomous driving.