GovCIO is currently working on a proposal with HHS and we are looking for a High Performance Computer Engineer. This is for a proposal and will be remote.
The High Performance Computing (HPC) Engineer supports and optimizes HPC environments that enable advanced scientific research, data analytics, and computational modeling. This role works closely with researchers, data scientists, and system administrators to ensure that HPC resources are effectively configured, tuned, and utilized to accelerate research outcomes. The HPC Engineer focuses on improving performance, scalability, and efficiency of compute workloads while helping research teams adapt applications, workflows, and code to take full advantage of HPC architectures including clusters, GPUs, and high-speed storage systems. The position serves as a bridge between infrastructure operations and the research community, ensuring that the HPC environment evolves to support emerging scientific computing needs.
ResponsibilitiesThe 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. The position also helps guide researchers in adapting code and tools to leverage parallel computing architectures, ensuring that the HPC environment effectively accelerates scientific discovery and innovation.
- 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.
QualificationsBachelor's with 15+ years (or commensurate experience)
Required Skills and Experience
- 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.
Posted Salary RangeUSD $150,000.00 - USD $190,000.00 /Yr.
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