Research Intern 2027 – GPU Acceleration for Quantum Computing Applications
HPC Optimization
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What stands out
- Pay is stated up front — $68,400 / year. Most postings never say.
- Posted in the last 24 hours.
The gist
This internship focuses on accelerating hybrid HPC-quantum applications by parallelizing and distributing code, with a focus on GPU optimization. Ideal for students with experience in HPC and GPU programming, working closely with quantum researchers to improve algorithm performance.
What you would actually do
- Parallelize and distribute sequential code for HPC systems
- Optimize performance with GPU acceleration using CUDA
- Work with quantum scientists on hybrid applications
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 4 hours of being posted
- Last seen listed
- Application page
- ibmglobal.avature.net
InternDoor has recorded 268 engineering postings from IBM in the US since Aug 2026. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to IBM’s page instead of a dead end.
How to apply
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This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.