High Performance Computing(HPC)

22 hours ago

Bengaluru South Karnataka, India Infobell IT Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Company Description

Infobell IT is dedicated to product development and advanced services, with specialties in artificial intelligence, high-performance computing, modernization and cloud migration, and performance benchmarking and optimization. We offer customizable product frameworks for end-to-end automation, AI recommendation engines, and pricing and sustainability analysis. Our solutions aim to enhance operational efficiencies and provide tailored services to meet diverse business needs.

If interested please share your updated resume to

JD##: Developer/Admin- HPC

Position Name Developer – HPC Engineer

Experience Range 3+ yrs

Location Bangalore(WFO)

Role Description

This is a full-time on-site role for a High Performance Computing (HPC) specialist located in Bengaluru South. The primary responsibilities include managing and optimizing HPC systems, conducting performance testing and benchmarking, and analyzing data to ensure system efficiency. Additional tasks may involve collaborating with various teams to support AI and cloud migration projects, troubleshooting issues, and maintaining up-to-date knowledge of advancements in HPC technologies.

Key Responsibilities:

  • Analyze and optimize HPC application performance (MPI, OpenMP, CUDA).
  • Run and evaluate benchmarks (HPL, STREAM, OSU, SPEC MPI, etc.).
  • Use profiling tools (VTune, HPCToolkit, ARM MAP, Perf) for tuning.
  • Compare CPU/GPU/accelerator architectures and interconnects.
  • Support performance reports and recommendations for HPC environments.

Requirements:

  • Minimum
    3 years of experience
    in HPC performance tuning and benchmarking (
    no upper limit
    ).
  • Proficiency in at least one programming language: C, C++, or Python
    (C or C++ preferred for low-level performance tuning).
  • Experience with
    MPI, OpenMP
    , and
    GPU programming (CUDA or OpenCL)
    .
  • Familiarity with job schedulers such as
    SLURM
    or
    PBS
    .
  • Good understanding of
    HPC hardware
    , including memory hierarchy, interconnects, and processor architecture (CPU/GPU/Accelerators).

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