• Design and build simulation scenarios representing nominal, edge-case, and adversarial conditions. • Translate autonomy requirements and real-world incidents into reproducible tests with clear, measurable outcomes. • Script environments, actors, triggers, and behaviors in Isaac Sim or Unreal Engine. • Maintain configuration-driven scenario setups (YAML/JSON) for reproducibility, sweeps, and domain randomization. • Develop Python utilities and Bash scripts to automate scenario generation, execution, and evaluation. • Integrate simulation-based tests into GitHub-based CI pipelines (PR checks, nightlies, release validation). • Improve reliability, scalability, and visibility of scenario execution, including logging and metric collection. • Implement and refine system-level KPIs (safety constraints, planner success, tracking stability, interactions). • Analyze simulation results to detect regressions, understand multi-module behaviors, and surface meaningful insights. • Support ML dataset creation from simulation and resimulation, including metadata curation and edge-case identification. • Work closely with autonomy, controls, QA, and release engineering to align scenarios with feature changes and test requirements. • Participate in debugging sessions, test planning, and design reviews to identify issues and propose improvements. • Document scenarios, evaluation logic, and test plans clearly for internal stakeholders. • Take increasing ownership of scenario domains, test frameworks, or automation pipelines. • Influence simulation test strategy and standards through strong technical judgment. • Help mentor teammates, improve processes, and drive best practices around system-level testing.