• Design and implement high-performance data services for streaming, indexing, and querying sensor data at scale — across time-series, multi-modal, replay, and live sources. • Own and evolve the serialization and format layer: designing for performance, interoperability, and correctness across formats like Protobuf, Arrow, Parquet, and MCAP. • Collaborate with AI and Robotics teams to deeply understand their data access and evaluation patterns, then build platform APIs and tooling that measurably accelerate their work. • Optimize performance at every level: profiling, parallelization, memory efficiency, query optimization, and protocol redesign. • Build diagnostic and observability tooling that lets teams understand and debug their data and test pipelines. • Establish standard software development practices (code quality, testing, tracing, CI/CD) across data and orchestration services. • Actively drive the adoption of new standards and technologies in the physical AI tooling ecosystem.