Teams at Tower Research Capital

Design and build a scalable, reliable ML research platform supporting large-scale experimentation, distributed GPU training, experiment tracking, model/version/ artifact management, data pipelines, observability, and resource scheduling across HPC and multi-cloud environments while partnering with quantitative researchers.

Assist the regional risk team in enhancing risk models, developing data visualization tools, and documenting internship work for future improvements.

Design, support, and operate HPC compute and storage across on-premises and cloud environments. Maintain large-scale Linux systems, troubleshoot OS/storage/networking and cluster scheduler layers, manage batch and containerized workloads (CPU/GPU), build HPC tools and observability pipelines, handle deployments and lifecycle, and automate repetitive workflows to improve cluster utilization and reliability.