Research Intern 2027 - GPU Acceleration for Quantum Computing Applications

We are looking for interns interested in accelerating and scaling hybrid HPC-quantum applications, focusing on the HPC side: starting from sequential proof-of-concept code, parallelizing and distributing it, and accelerating it with GPUs where possible. You will work side by side with quantum research scientists and HPC experts, who will guide you throughout the project. More specifically, you will:

• Analyze sequential code to identify opportunities for parallelization using shared-memory and distributed-memory techniques
• Identify portions of the resulting code that can be offloaded to GPUs for improved performance
• Run the code at scale (up to hundreds of GPUs) and evaluate performance and scalability
• Work alongside quantum scientists to understand the impact of your work on their research: will this allow larger problems to be solved, and make the new algorithm competitive against state-of-the-art classical algorithms?