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▷ (Apply in 3 Minutes) High Performance Computing Intern

BQPDelhi, Delhi, India
10 hours ago
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.
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