Embedded ML Systems Engineer

This role focuses on building on-device intelligence for a next-generation Android Automotive platform, owning the end-to-end lifecycle of embedded ML systems. The position ensures models behave predictably and safely in production environments while adhering to real-world constraints like latency, thermal limits, and functional safety. Responsibilities include deploying production-grade ML inference systems, optimizing models for strict resource budgets, and integrating with vehicle signals and system services.