HPC Intern

3 days ago

Bengaluru, Karnataka, India BQP Full time ₹ 40,00,000 - ₹ 1,20,00,000 per year

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 publications
    based 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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