• Lead the research, design, and development of algorithms and ML models that enhance vehicle decision-making, expand ODDs, and ensure robustness against long-tail events and subsystem failures. • Collaborate with cross-functional engineering teams (Perception, Prediction, Hardware, Infrastructure, etc) to architect a holistic system that maximizes safety and performance at scale. • Architect dynamic simulation scenarios to validate expanded ODDs, ensuring rigorous testing of the system’s "edge case" limits. • Maintain a high bar for technical excellence by clearly documenting research findings, system architectures, and validation results to ensure organizational alignment and safety traceability. • Act as a technical catalyst by mentoring junior engineers in software craftsmanship, algorithmic rigor, and systems thinking.