HPC Application Specialist

Date: Sep 4, 2025

Location: Pune, MH, IN, 410501

Company: Corning

Requisition Number: 70775

The company built on breakthroughs.

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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.