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Hpc Administrator Jobs in Virginia (NOW HIRING)

Diaconia

HPC Access Control Specialist

Fort Belvoir, VA · On-site

$75K - $90K/yr

HPC Access Control Specialist Overview Provide support for DoD IT systems, ensuring secure and ... Administer user accounts, including granting and revoking access, allocating computer time, and ...

Jobtailor

Lead Network Engineer - HPC

Arlington, VA · On-site

$120 - $160/hr

... HPC sites . * Design scalable communications architectures supporting high-capacity data transfers ... Administer Linux-based networks supporting compute, storage, management, and user access, including ...

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How much do hpc administrator jobs pay per year?

As of Aug 23, 2026, the average yearly pay for hpc administrator in Virginia is $72,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $80,800.00 per year, depending on experience, location, and employer.

What is an HPC administrator?

HPC Administrators are IT professionals responsible for managing, maintaining, and optimizing high-performance computing (HPC) systems. They install and configure hardware and software, monitor system performance, troubleshoot issues, and ensure the security and efficiency of HPC clusters. Their work supports researchers and organizations that rely on large-scale computational power for scientific, engineering, or data-intensive applications.

What are the key skills and qualifications needed to thrive as an HPC administrator?

To thrive as an HPC Administrator, you need expertise in Linux system administration, networking, and parallel computing, typically supported by a degree in computer science or a related field. Familiarity with HPC-specific tools like Slurm, PBS, or LSF schedulers, as well as experience with cluster management, storage systems, and scripting languages, is essential. Strong troubleshooting skills, attention to detail, and effective communication help you resolve issues and collaborate with diverse technical teams. These skills ensure reliable, efficient, and secure operation of high-performance computing environments critical to research and enterprise objectives.

What are some common challenges faced by HPC administrators, and how can they be addressed?

HPC Administrators often encounter challenges such as managing complex cluster environments, ensuring high availability, and troubleshooting performance bottlenecks. Staying current with rapidly evolving hardware and software technologies is also essential. To address these challenges, administrators typically use robust monitoring tools, automate routine tasks, and participate in ongoing training or professional development. Collaboration with researchers and IT teams is vital for aligning system configurations with user needs and optimizing computational resources.

What is HPC administration?

HPC administration involves managing and maintaining high-performance computing systems used for complex calculations and data processing. It includes tasks such as system configuration, user management, job scheduling, and ensuring system security and performance, often using tools like job schedulers and monitoring software. HPC administrators need technical skills in Linux, scripting, and hardware management to support scientific, engineering, or research environments.

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Hpc Administrator jobs near you
Infographic showing various Hpc Administrator job openings in Virginia as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $72,652 per year, or $34.9 per hour.

eCAP HPC Systems Engineer

Data Systems Analysts, Inc.

Charlottesville, VA

Full-time

Re-posted yesterday

Job description

Description:

This position is located in Charlottesville; VA. DSA will be providing relocation to Charlottesville market. 

Data Systems Analysts, Inc. (DSA) is seeking a TS/SCI cleared HPC Engineer to assist users executing computational workloads within secure High-Performance Computing (HPC) environments. The HPC Engineer will work directly with engineers, analysts, and researchers to support job execution, troubleshoot workload failures, and improve the performance and efficiency of compute workloads running on HPC clusters.

The Engineer will assist users with scheduler job scripts, application execution, and workload performance troubleshooting while promoting HPC best practices for efficient cluster utilization. This role serves as the primary interface between mission users and HPC platform infrastructure teams.

This position requires strong Linux experience, scripting capability, and familiarity with distributed computing environments supporting scientific or engineering workloads.

This position is onsite in Charlottesville, VA.

Responsibilities:

  • 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.
  • Assist users with environment modules and runtime environments required for executing HPC applications.

Required Education, Certifications and Security Clearance:

  • BS degree in Engineering, Computer Science, or related STEM field
    • Experience may be substituted for degree
  • TS/SCI Clearance
  • Ability to obtain DoD 8140 (8570) IAT Level II certification

Required Experience/Qualifications:

  • Minimum 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.
  • Ability to communicate technical concepts clearly to both technical and non technical users.
  • Active TS/SCI security clearance.

Preferred Experience/Qualifications:

  • 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.

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