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Urgent! High Performance Computing Intern Job | BQP

High Performance Computing Intern



Job description

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.



Required Skill Profession

Computer Occupations



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