Systems - Engineer

HPC Engineer

Charlottesville, VA

• Active TS/SCI
• 5+ years of Linux experience including command line system usage, scripting, and troubleshooting applications in multi-user server environments.
• Professional experience administering or supporting command line Linux systems (RHEL derivatives preferred).
• Experience developing scripts using Bash, Python, or similar scripting languages.
• Experience troubleshooting software execution issues in distributed computing environments.
• Working knowledge of job scheduling systems such as Slurm, PBS, Torque, or similar platforms.
• Experience supporting users in technical computing or engineering environments.
• Strong troubleshooting and analytical skills.
• Experience as a user or administrator of HPC clusters.
• Experience supporting parallel computing frameworks such as MPI, OpenMP, or CUDA based GPU workloads.
• Experience supporting scientific or engineering applications requiring large scale compute resources.
• Experience using performance monitoring and optimization tools for compute workloads.
• Experience compiling applications using C, C++, Fortran, or Python based environments.
• Experience working in classified computing environments.
• Experience supporting GPU enabled workloads.
• Ability to obtain DoD 8140 (8570) IAT Level II certification

• Provide user support for computational workloads running on HPC clusters in classified and unclassified environments.
• Assist users in developing, submitting, and troubleshooting scheduler job scripts for systems such as Slurm or PBS, including resource allocation for CPU, GPU, and distributed compute workloads.
• Troubleshoot slow, hanging, or failing HPC jobs including MPI based distributed workloads, GPU jobs, and large scale parallel applications.
• Support users compiling and executing scientific, modeling, or data processing applications within Linux based HPC environments.
• Provide guidance on HPC best practices for job scheduling, compute resource allocation, and workload performance.
• Monitor workload execution patterns and provide guidance to improve cluster throughput and resource utilization.
• Develop scripts or tools using Bash or Python to automate common operational tasks.
• Maintain documentation and knowledge base articles describing system capabilities, job execution procedures, and troubleshooting guidance.
• Support performance analysis of compute workloads to identify inefficiencies or configuration issues.
• Coordinate with HPC systems engineers when infrastructure or cluster configuration issues impact workload performance.
• Provide responsive on site support for users executing HPC workloads in mission environments.
• Maintain source controlled scripting and tools using Git or similar version control platforms.

Progression Inc. is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability.