Manage the development of a quality assurance program to enhance customer experience. Collaborate cross-functionally to build scalable quality systems, establish KPIs, and advocate for customer needs, driving consistency and improvement.

Lead the charge in developing and optimizing embedded software for multiple real-time platforms, collaborating with cross-functional teams to enhance application development and support innovative vehicular technology.

Elevate the reliability and efficiency of large-scale simulation pipelines critical for validating self-driving vehicle behavior, working collaboratively within a dynamic team to enhance performance and support autonomous systems development.

Lead the development of evaluation frameworks for safety-critical AI systems, driving data-driven insights and validation through statistical methodologies and collaborative engineering practices to ensure system reliability and performance.

Optimize and enhance multi-modal foundation models to achieve efficient, real-time performance on autonomous vehicle systems, utilizing cutting-edge techniques for model compression and deployment.