Innovate data-driven evaluation methods for autonomous driving software, utilizing advanced statistics, algorithms, and machine learning to enhance performance measurement while collaborating with an interdisciplinary team and advocating code health standards.

Empower the evaluation of autonomous driving software by developing performance metrics using statistics, algorithms, and machine learning while collaborating with engineers and data scientists to optimize decision-making processes.

Shape the future of autonomous driving by utilizing complex data to evaluate and enhance software performance. Collaborate with cross-functional teams to drive data-driven decisions and improve driving quality through innovative methodologies.

Manage and mentor a team of software engineers to develop scalable, efficient systems and drive data processing solutions, while collaborating with stakeholders and owning the full lifecycle of projects in a dynamic technical environment.

Unlock safety innovation by driving the integration of safety case claims and ensuring compliance across multiple platforms for operational excellence in a collaborative environment.