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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 k
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 k
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 k
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 k
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 k