Urgent Hpc Application Specialist

Requisition Number 70775 The company built on breakthroughs Join us Corning is one of the world s leading innovators in glass ceramic and materials science From the depths of the ocean to the farthest reaches of space our technologies push the boundaries of what s possible How do we do this With our people They break through limitations and expectations - not once in a career but every day They help move our company and the world forward At Corning there are endless possibilities for making an impact You can help connect the unconnected drive the future of automobiles transform at-home entertainment and ensure the delivery of lifesaving medicines And so much more Come break through with us As an HPC Application Specialist you will be a member of Corning s global Scientific Computing team supporting the development and use of scientific softwares on our HPC Clusters The ideal candidate will be an experienced C and Python developer familiar with parallel programming technologies OpenMP MPI CUDA and have a good understanding of FEM-based open-source software in the field of Solid Mechanics MOOSE FEniCS You will work closely with HPC System Engineers Consultants and with Corning s Modeling and Machine Learning community with a special focus on the solid mechanics community to identify develop and implement solutions and technical support that enable Modeling and Scientific Computing objectives to be met Day to Day Responsibilities 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