• Prototype end-to-end solutions to improve distributed training and disaggregated inference performance. 
• Analyze and optimize communication flows across application, transport, and network layers. 
• Develop system software spanning communication libraries, drivers, and firmware integrations. 

We’re looking for a detail-oriented Digital Pathology Annotator to support ongoing data generation for AI model development. This role focuses on high-quality annotation of histopathology images (H&E and IHC) across multiple oncology indications.