Factorial

HPC/AI Workload Profiling Intern

Factorial

full-time

Posted on:

Origin:  • 🇪🇸 Spain

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Job Level

Entry Level

Tech Stack

LinuxPandasPythonPyTorch

About the role

  • Profile and characterize real HPC/AI workloads provided by HLRS on Openchip’s RISC-V platforms.
  • Deploy and configure Openchip RISC-V dev boards and simulators; set up reproducible pipelines.
  • Integrate and run HLRS-selected representative workloads and benchmarks with defined input sets.
  • Instrument detailed metrics (performance, memory, I/O, interconnect) and ensure data provenance.
  • Measure power/energy and scalability; publish dashboards and comparative reports.
  • Build workload taxonomies and document end-to-end runbooks (scripts/containers/CI).
  • Collaborate virtually with HLRS to access datasets, traces, and research context.

Requirements

  • Pursuing MSc in Computer Science, Computer Engineering, Electronics Engineering, or related field.
  • Strong Linux, C/C++ and Python/Bash skills.
  • Familiarity with HPC or AI stacks (MPI/OpenMP and/or PyTorch/ONNX).
  • Basics of CPU architecture and RISC-V concepts.
  • Rigor in experimental design and data handling.
  • Preferred qualifications: experience with perf, PAPI, LIKWID, VTune/Advisor, or performance evaluation tools.
  • Preferred: power/energy measurement (on-board sensors or external meters).
  • Preferred: simulators/emulators (gem5, Spike) or FPGA prototyping.
  • Preferred: data visualization (pandas, matplotlib/Plotly) and Git/CI workflows.
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