High Performance Computing Engineer

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GovCIO

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2010

🏛️ Gouvernement

🏢 Entreprise

🔒 Cybersecurity

Government • Enterprise • Cybersecurity

GovCIO est une entreprise technologique spécialisée dans la fourniture de solutions numériques et de services informatiques aux agences gouvernementales. Elle se concentre sur la transformation des opérations du secteur public grâce à des technologies innovantes, améliorant ainsi l'efficacité et l'efficience des services gouvernementaux.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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