High Performance Computing Intern

4 weeks ago

India BQP Full time

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 - Strong programming skills in C++. - Proficiency with MPI/OpenMP for parallel programming. - Hands-on experience with CUDA for GPU programming. - Strong analytical skills with the ability to interpret and visualize performance metrics. Preferred/Good-to-Have Skills - Familiarity with performance profiling tools: Nvidia Nsight Compute, Intel vTune, Intel MPI Profiler, mpiP, Scalasca. - Knowledge of scaling concepts (strong/weak scaling), roofline modeling, and HPC performance visualization techniques. - Exposure to technical writing: reports, white papers, or academic articles. - Background in HPC research, computational sciences, or applied mathematics.

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