As a Research Intern 2027 – GPU Acceleration for Quantum Computing Applications, you will join a multidisciplinary group within IBM Quantum. You will work with quantum research scientists and HPC experts to accelerate and scale hybrid HPC–quantum applications, specifically focusing on the high-performance computing side. Your daily responsibilities include analyzing sequential code to identify parallelization opportunities using shared-memory and distributed-memory techniques, offloading portions to GPUs, and running code at scale across hundreds of GPUs. You will utilize Python, C, C++, or Rust alongside HPC software like OpenMP, MPI, and CUDA. The role addresses the computational demands of quantum error mitigation and correction, as well as scaling algorithms for chemistry and materials science by bridging the gap between classical HPC systems and emerging quantum processors.