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 provides equal opportunity and prohibits discrimination, and the position offers a hybrid onsite schedule with benefits information available.
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 for research
AI workload support with TensorFlow and PyTorch
SLURM and batch scheduling systems
Source control with Git
Nice-to-have
Vendor evaluation and proof of concept
Advanced technical support to faculty
Hybrid onsite work schedule
Key Requirements
Bachelor’s degree in Computer Science
3 years Linux systems administration experience
Experience in research computing environments
Knowledge of RHEL/CentOS Linux management
Programming skills in C, C++, bash, Perl
Experience with log correlation software like Sumologic
Experience with large-scale research computing platforms
Experience with machine learning frameworks including TensorFlow