HPC Application Specialist

: Engage with the diverse global HPC user community handling issues from individual support tickets to participating on modeling projects. Develop, validate, and apply numerical models to solve nonlinear FEA, fracture mechanics and other applied mechanics problems related to product performance and processes using open-source tools such as MOOSE and FEniCS. Work to expand the capabilities of the FEM-based open-source software as needed. Collaborate with external code owners and internal project stakeholders. Develop models for HPC environments, with consideration of requirements such as efficient use of memory, storage, network resources, scalability, and parallel execution. Work independently and collaboratively within project teams Research, install, configure, maintain, and optimize a broad set of commercial and open-source scientific software for use on HPC clusters Consult with scientists and engineers to identify, model, and automate complex scientific processes. Research and diagnose software build, execution, and performance problems quickly and effectively. Develop and present training for new software or HPC capabilities being deployed. Develop and maintain technical documentation for the HPC user community. Build relationships that foster collaboration and partnerships to drive better services for the technology community Required Skills: Experience with developing complex numerical models in open-source tools such as MOOSE, FEniCS, and a good understanding of its source code. Strong background in solid mechanics and FEA. Deep understanding of solid mechanics concept and theory. Strong skills and experience developing with standard programming languages used in scientific high-performance computing (e.g. C/C++, Python, FORTRAN) Experience with HPC and parallel programming concepts and techniques (e.g. MPI, OpenMP, OpenACC, CUDA) Proven working experience in developing, configuring, and troubleshooting applications for Linux based environments Solid understanding of High-Performance Computing (HPC) environment and related technologies Experience in writing, porting, debugging, analyzing, and optimizing parallel programs 8 Solid understanding of the software development process including requirements, use cases, design, coding, documentation and testing of scalable, distributed applications in a Linux environment Positive customer service attitude and strong oral and written communication skills Excellent troubleshooting and problem-solving skills Adaptable and able to work well in a group and project environment Ability to work well with ambiguous requirements and adapt to change quickly Desired Skills Experience working in a research focused IT environment Experience with HPC schedulers and resource managers such Slurm Workload Manager, PBS or equivalent. Experience with utilization of cluster-based and container-based modeling and simulation packages in HPC environments. Experience with a variety of build/install tools (e.g. CMake, Makefile, autoconf) and HPC package managers (e.g. Spack, Easybuild) Familiarity with principles of Large Language Models and their incorporation into scientific environments is a plus. Experience with Linux system administration is a plus Education and Experience: Masters / Dual Degree / PhD in Mechanical, Materials Science, Aerospace Engineering or Computational Sciences from IITs / IISc / reputed foreign universities. Relevant work experience of more than 4 years after Masters / Dual Degree or more than 2 years after PhD. Minimum of 5 years hands-on experience in a large, distributed computing environment.