Description Essential Duties and Responsibilities

System Architecture and Design

Develop and design HPC infrastructure: Select, design, and implement HPC systems, including

compute clusters, storage networks, and high-speed interconnects, to meet the varied computational

needs of the research community.

Evaluate and integrate new technologies: Stay abreast of advancements in HPC, cloud computing,

and storage technologies. Evaluate the potential benefits of new technologies and integrate them

into the existing HPC ecosystem to enhance performance and capabilities.

System Administration and Maintenance

Manage HPC resources: Perform system administration tasks on HPC clusters, including

configuration, maintenance, and troubleshooting of hardware, software, and networking components.

Optimize system performance: Monitor system performance, identify bottlenecks, and implement

optimizations to ensure efficient utilization of HPC resources.

Ensure system security: Implement and maintain security measures to protect sensitive data and

computing resources from unauthorized access and cyber threats.

User Support and Collaboration

Provide technical support and training: Assist researchers with technical issues related to HPC

usage. Organize training sessions and workshops on HPC best practices, programming, and

optimization techniques.

Collaborate on research projects: Work closely with research groups to understand their

computational requirements and assist in developing efficient computational strategies, code

optimization, and parallelization.

Software and Application Management

Install and manage scientific software: Deploy and maintain a wide range of scientific applications,

libraries, and development tools on HPC systems to support research activities.

Develop custom tools and scripts: Write custom scripts and tools to automate common tasks,

improve system management, and facilitate complex computational workflows.

Research and Development

Stay informed about the latest research in HPC and related fields.

Data Management and Storage

Implement data management policies: Develop and enforce data storage, backup, and archiving

policies to ensure data integrity and availability.

Optimize data storage and access: Design and maintain scalable storage solutions that provide fast

and efficient access to large datasets, integrating with HPC compute resources.

Preferred Requirements

Education – Master's in Computer or Computational Science, Statistics, or Engineering program.

Experience – Twelve years of experience in HPC related to hands-on system administration and management of

large-scale supercomputing clusters at all levels, the use of parallelization techniques, the use of programming

languages, tools, and techniques with Fortran, C/C++, Java, or POSIX threads, etc., and mass storage

architecting and planning.

Five years of management and leadership experience in HPC or research computing centers.

Experience with computing clusters in Windows and Linux and virtualized environments.

Ability to evaluate and benchmark cluster architectures and their key subsystems (e.g., mass storage,

interconnect, processor technology). Knowledge of scripting languages like Bash, Python, and Perl to

maintain HPC systems and scientific computing. Knowledge of C/C++, Fortran, CUDA, OpenCL,

OpenMP, and MPI for scientific computing. Configuration management tools include Puppet, Chef,

Ansible, Salt, etc. Knowledge of container technologies such as Docker, Singularity, and Kubernetes. Requirements C++, Cluster computing, Python Scripting, System Architecture, System Administration Technology Doesn't Change the World, People Do.®

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