CMS Data Reduction Scientist

As part of our commitment to advancing science, the Next-Generation Trigger (NGT ) initiative has launched the Real-time Reconstruction Revolution (R³, R-cube). R-cube aims to transform the High-Level Trigger (HLT) farm into a full reconstruction farm capable of processing all input data (up to 750 kHz, ~6 TB/s) with offline-like quality through improved reconstruction code and calibrations. A major challenge is managing the storage of the high-quality data produced by R³.

Your responsibilities:

• Defining next-generation data formats that maximize data reduction while preserving physics performance. Ensure they are parallel-programming friendly (e.g., structure-of-arrays, SoA) and optimized for accelerators (e.g., GPUs).
• Developing a workflow to quantify the impact of lossy compression on physics performance, including clear metrics, reference analyses, and automated regression tests.
• Benchmarking compression/decompression methods by mea...