High Performance Computing (HPC) Engineer

Job Description

Summary

The High Performance Computing (HPC) Engineer will design, deploy, and support advanced HPC clusters and storage systems that enable large-scale economic research workloads. This role supports the development, optimization, and maintenance of high-performance computational environments and collaborates closely with research teams to solve complex data and compute challenges.

Key Responsibilities

• Design, configure, and administer HPC clusters, storage systems, and supporting infrastructure.
• Monitor system health, optimize performance, and execute upgrades, patches, and maintenance tasks.
• Troubleshoot complex issues across hardware, software, networking, and user environments.
• Develop automation scripts, tools, and workflows to streamline HPC operations.
• Implement and support parallel computing frameworks, GPU workloads, and containerized environments.
• Collaborate with researchers to translate computational needs into scalable system solutions.
• Maintain HPC documentation, user guides, and training resources.
• Support workload scheduling, performance tuning, and capacity planning.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6+ years of experience in HPC administration and systems engineering.
• Strong Linux administration experience (Red Hat/CentOS) in HPC environments.
• Proficiency in scripting languages such as Python and Bash.
• Experience with job schedulers (SLURM, PBS, LSF).
• Experience with parallel file systems (Ceph, GPFS, Lustre, BeeGFS).
• Familiarity with MPI, OpenMP, and scientific computing frameworks.
• Experience with automation tools (Salt, Ansible, Puppet).
• Strong analytical and problem-solving skills.

Tech Stack

Linux (RHEL/CentOS), SLURM, Ceph, GPFS, Lustre, BeeGFS, MPI, OpenMP, Python, Bash, Ansible, Docker, Singularity, GPU compute frameworks (CUDA/OpenACC), HPC storage, HPC cluster architectures.

Compensation & Benefits

Competitive compensation aligned with market standards.
Health benefits, PTO, remote flexibility (varies by client).

Work Schedule

Monday–Friday, flexible hours, on-site with limited remote flexibility.

About the Client

Our client is a growing technology-focused organization committed to building scalable digital solutions.

Why Join the Team?

• Opportunity to support advanced HPC environments used for critical research.
• Highly collaborative environment with exposure to cutting-edge computing technologies.
• Career growth through hands-on HPC architecture and optimization work.

How to Apply

Submit your resume to people@ignitetalentpartners.com. Shortlisted candidates will be contacted.