HPC Intern
22 hours ago
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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