Senior Simulation Engineer - Autonomy & Validation

Roboticsconnected; South San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

AeroVect in South San Francisco is hiring a role focused on owning and extending the simulation tooling for autonomous ground-handling R&D. The role emphasizes determinism, reproducibility, and test quality to ensure gates can fail reliably and yield actionable information.

You will integrate the simulation with the production autonomy stack, scale scenario execution in the cloud, and build evaluation layers and tooling to support robust, end-to-end validation while reducing flaky failures.

Qualifications

• Bachelor’s or higher in CS/EE/Robotics or related field.
• Hands-on simulation experience for autonomous systems.
• Knowledge of simulation platforms (CARLA, Gazebo, Omniverse) and validation methods.
• Strong Python, Linux, Docker, and distributed-systems know-how.
• Experience with CI/CD and cloud execution for end-to-end validation.

Responsibilities

• Build and extend the simulation environment integration with the production autonomy stack.
• Maintain determinism and reproducibility, adding fidelity as the autonomy stack evolves.
• Build and operate cloud-based scenario execution with orchestration and result aggregation.
• Develop an evaluation layer to convert runs into precise pass/fail verdicts.
• Create failure-triage tooling, dashboards, and scalable test workflows for V&V.
• Extend scenario authoring tools across backend and frontend, and maintain foundations.

Skills

Python

Simulation experience

Distributed systems

CI/CD integration

Debugging and profiling

Education

Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field

Master’s in Computer Science, Robotics, or related field

Tools

Docker

Linux

CARLA

NVIDIA Omniverse

Gazebo

CI/CD tooling

Job description

AeroVect in South San Francisco is hiring a role focused on owning and extending the simulation tooling for autonomous ground-handling R&D. The role emphasizes determinism, reproducibility, and test quality to ensure gates can fail reliably and yield actionable information.

You will integrate the simulation with the production autonomy stack, scale scenario execution in the cloud, and build evaluation layers and tooling to support robust, end-to-end validation while reducing flaky failures.