Brown University seeks a Lead High Performance Computing Engineer to provide technical leadership and guide architectural and operational decisions for the HPC environment
Job Summary
Brown University seeks a Lead High Performance Computing Engineer to provide technical leadership and guide architectural and operational decisions for the HPC environment.
The role involves designing, deploying, and maintaining the university’s high-performance computing cluster and supporting AI workloads including TensorFlow, PyTorch, and Jax.
Brown University offers a hybrid onsite schedule and provides equal opportunity employment with various benefits.
Matching Summary
Brown University seeks a Lead High Performance Computing Engineer to provide technical leadership and guide architectural and operational decisions for the HPC environment.
Skills & Requirements
Must-have
Linux systems administration
High-performance computing cluster management
Workload scheduler configuration
GPU deployment and support
AI workload deployment with TensorFlow and PyTorch
Batch/scheduling systems expertise
Source control with Git
Nice-to-have
Vendor evaluation and proof of concept
Advanced technical support to researchers
Hybrid onsite work schedule
Log correlation software experience
Machine learning frameworks knowledge
Key Requirements
Bachelor’s degree in Computer Science
3 years Linux systems administration experience
Experience with RHEL/CentOS Linux management
Knowledge of systems architecture, security, networking, storage
Programming skills in C, C++, bash, Perl
Experience with large-scale research computing platforms