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Design, build, and operate a production AI engineering platform that connects agents to engineering systems. Build reliable distributed services, automation, agent lifecycle and safe action execution, semantic data layers, and observability. Lead customer onboarding, gather requirements, debug production issues, and drive adoption while establishing evaluation and safety guardrails.

Lead cross-functional programs to build and operate an autonomous-driving training data lake: define roadmap, coordinate data/ML/infrastructure/annotation teams, set KPIs for data quality and pipeline reliability, manage dataset generation/versioning/lineage, identify and resolve technical bottlenecks, and improve engineering and operational processes to deliver high-quality training data at scale.

The Senior Staff Physical AI Data Algorithm Engineer is responsible for designing and optimizing a vehicle-cloud data closed-loop architecture, managing data toolchains, and ensuring high-quality data standards throughout the model development cycle.

Lead the architecture design and R&D in synthetic data and simulation systems for autonomous driving and robotics, ensuring high-quality data generation and closed-loop simulations.