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GovCIO logo
GovCIO

GovCIO is a service-disabled-veteran-owned small business (SDVOSB) that offers technology services to improve business performance for government organizations.

High Performance Computing Engineer

Location

United States

Posted

96 days ago

Salary

$150K - $190K / year

Seniority

Lead

Bachelor Degree15 yrs expEnglishDocker

Job Description

High Performance Computing Engineer

GovCIO

• The HPC Engineer is responsible for supporting and optimizing high performance computing resources used by researchers and data scientists to conduct advanced modeling, simulation, and data analysis. • This role works closely with the research community to improve application performance, optimize computational workflows, and ensure efficient use of HPC infrastructure including compute clusters, GPUs, high-speed networks, and storage systems. • Collaborate with researchers, data scientists, and engineers to optimize applications and workflows for HPC environments. • Analyze computational workloads and provide guidance on parallelization strategies, job scheduling, and resource allocation to maximize performance. • Support and tune HPC cluster environments including compute nodes, GPUs, high-speed interconnects, and parallel file systems. • Assist researchers with porting, compiling, and optimizing scientific codes using parallel programming models such as MPI, OpenMP, CUDA, and container-based environments. • Monitor HPC system utilization and performance metrics to identify opportunities for optimization and improved throughput. • Work with system administrators to design and implement improvements to cluster architecture, scheduling policies, and storage performance. • Provide user support and technical consulting to research teams using HPC resources. • Develop documentation, best practices, and training materials to help users effectively leverage HPC capabilities. • Support data-intensive research by optimizing workflows that integrate HPC compute resources with large-scale data storage and analytics platforms. • Contribute to continuous improvement of the HPC environment through testing, benchmarking, and adoption of emerging technologies.

Job Requirements

  • Bachelor’s or Master’s degree in Bachelor of Science, Information Science & Biology, or a related technical field.
  • Experience working with HPC environments, cluster computing, or large-scale research computing platforms.
  • Experience supporting scientific computing applications, modeling, simulation, or data-intensive research workloads.
  • Understanding of GPU computing, containerization (Docker/Singularity), and modern HPC architectures.
  • Strong analytical and problem-solving skills related to performance tuning and computational optimization.
  • Ability to communicate technical concepts effectively to researchers and interdisciplinary teams.
  • Experience working in collaborative research environments or supporting scientific computing programs is highly desirable.

Benefits

  • Employee Assistance Program (EAP)
  • Corporate Discounts
  • Learning & Development platform, to include certification preparation content
  • Training, Education and Certification Assistance
  • Referral Bonus Program
  • Internal Mobility Program
  • Pet Insurance
  • Flexible Work Environment

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