Take ownership of and enhance large-scale Kubernetes infrastructure for efficient data processing, workload onboarding, and batch capabilities in a dynamic compute platform environment.

Lead the charge in validating autonomous vehicle perception systems, ensuring accuracy and reliability through automated testing pipelines and rigorous performance metrics. Collaborate with cross-functional teams to optimize AI models against real-world scenarios.

Advance your career by developing innovative methods for optimizing data retrieval and training within large-scale autonomous-driving systems, impacting machine learning and product engineering.