Data Reduction Physicist (EP-CMS-TDQ-2026-146-GRAP)
Core
Lead the design of next-generation data tiers for the CMS High-Level Trigger to process 750 kHz of events with offline-quality reconstruction.
Role type
Senior IC data reduction physicist (HEP)
Builds
Accelerator-native data structures and end-to-end frameworks for high-throughput GPU processing of LHC events.
Domain
High Energy Physics (HEP) / Large Scale Data Systems
Deliverable
production ML models | product features
Required skills
C++, Python, ROOT, event reconstruction, data compression (lossless/lossy), GPU programming, heterogeneous computing
Preferred skills
AI/ML methods (autoencoders), LHC experiment data formats, large international collaboration experience
Responsibilities
Design low-level reconstructed and compact analysis data formats; quantify impact of lossy compression with automated regression tests; benchmark compression/decompression workloads; advance lossless compression using R³ objects and AI/ML techniques.
Seniority
Senior, hands-on IC