• Design and build simulation frameworks and tools to evaluate robot performance across diverse environments and use cases. • Develop realistic sensor, actuator, and physics models to replicate real-world robot interactions. • Integrate AI and autonomy software into simulation environments for validation and benchmarking. • Collaborate with perception, planning, controls, and hardware teams to define simulation requirements and ensure fidelity to real-world systems. • Automate large-scale simulation testing to assess performance, safety, and regression. • Analyze results, identify edge cases, and feed findings back into AI and system development. • Drive improvements in simulation infrastructure to increase scalability, reproducibility, and explainability. • Support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing pipelines.