Parallel Computing Intern

About BQP

BQP is building the next-generation simulation platform, BQPhy® , designed to solve the most complex computational challenges in aerospace, space, and defense. The platform integrates advanced solvers with proprietary quantum-inspired algorithms, delivering performance beyond the capabilities of modern GPUs. Running on classical high-performance computing systems, BQPhy® has demonstrated up to 10X computational advantages for aerospace and defense clients. The platform is built to transition seamlessly to quantum-native hardware as it matures, enabling sustained technical superiority and reduced development costs across industries.

About this Role

We are seeking a highly motivated HPC Performance Profiling Intern to join our High-Performance Computing (HPC) team. The intern will focus on CPU / MPI / GPU performance profiling and optimization for our advanced HPC simulation and optimization frameworks. This role is critical to addressing current performance bottlenecks and ensuring scalability for production-level workflows.

The selected candidate will gain exposure to cutting-edge HPC applications, profiling tools, and parallelization paradigms (OpenMP, OpenACC, CUDA, SYCL), while working closely with senior HPC engineers on both in-house code and third-party integrations.

Key Responsibilities

• Conduct strong and weak scaling analyses for complex HPC workloads.
• Perform in-depth profiling of codebases, identifying performance bottlenecks across CPU, GPU, and MPI / OpenMP layers.
• Utilize tools such as Nvidia Nsight Compute, Intel vTune, Intel MPI Profiler, mpiP, Scalasca for detailed performance analysis.
• Contribute to the development of a performance testing and monitoring framework for HPC workflows.
• Prepare roofline plots, occupancy heat maps, and performance visualizations for reporting.
• Collaborate with the HPC team to optimize application performance and enhance code efficiency.
• Support the creation of technical reports, white papers, conference presentations, and journal publicationsbased on findings.

Required Qualifications

Preferred / Good-to-Have Skills