HPC Intern
Scientific Computing Group, Corning Inc.
184 Science Center Dr, Painted Post, NY 14870
For more than 170 years, Corning has combined its unparalleled expertise in glass science, ceramics science, and optical physics with deep manufacturing and engineering capabilities to develop life-changing innovations and products. 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. Scientific Computing group maintains supercomputing resources and provides high performance computing (HPC) expertise to Corning Research & Development Corporation facilities worldwide. Come create breakthroughs with us!
Corning’s businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform mobile consumer electronics, optical communications, display, automotive markets, and life sciences. We are changing the world with:
- Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
- Damage-resistant cover glass to enhance the devices that keep us connected
- Precision glass for advanced displays to deliver richer experiences
- Auto glass and ceramics to drive cleaner, safer, and smarter transportation
- Trusted products that accelerate drug discovery, development, and delivery to save lives
Role Purpose
We are seeking an intern who is interested in gaining hands-on experience in the HPC domain. The scientific software stack on these machines are highly complex and need to be tuned for the bespoke hardware. The internship provides an opportunity to work alongside HPC Application Specialists in developing and deploying a custom Corning benchmark suite. Additionally, the intern will also work towards data aggregation and visualization, to generate key insights from the testing framework.
The internship will take place in-person at Corning’s Research and Development Facility in Painted Post, New York. The internship will take place in-person for 10 weeks May – August 2026
Location: Corning, NY
This is a paid internship
Key Responsibilities
- Set up ReFrame to enable easy deployment and automation of benchmarks
- Communicate with cluster users to identify their workloads and obtain representative jobs
- Configure running benchmarks on a regular schedule on all cluster nodes using existing Spack package manager
- Set up a database to store the results and a dashboard to provide easy access and visualization of these runs
- Write useful documentation for internal use as well as for users
- Demonstrate the deployed capability to the team and the user community
Required Education/Experience
- Must be a student enrolled in an accredited undergraduate or graduate degree program
- Students enrolled in computer science, mathematics, physics, engineering or related disciplines
- Familiarity with Linux command line interface
- Python programming skills
- Basic SQL knowledge
Desired skills
- Some experience in HPC and cluster computing topics such as MPI, Slurm
- Version control through Git and GitLab
- Grafana or any other metric visualization platform
- Benchmarking HPC systems
Related Skills & Other Requirements
- Must enjoy working in a research-driven environment
- Desire to document code and process, deliberative decision-making.
- Strong oral and written communication
- Excellent collaborative and interpersonal skills
Program Perks
- Competitive salaries
- Real world experience with HPC
Required Application Material
- Resume or CV
- Cover letter indicating your interest in the position, and any prior relevant experience.
Application Deadline
- Applications must be emailed by February 28, 2026 to maddumagph@corning.com
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment.