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Paid Internship
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24Open Positions

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INTERNSHIP Comparative study of AI workloads 2026

SiPearl
Found 1 month ago
Location
Castelldefels, Spain
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • C
  • C++
  • Python
  • TensorFlow
  • PyTorch
  • ONNX Runtime
  • ARM architecture

Soft Skills

  • Understanding of machine learning workflows, including training, inference, and fine-tuning.
  • Knowledge of parallelization techniques for high-performance computing.
  • Familiarity with modern AI models and machine learning concepts.

Job Description

SiPearl is developing high-performance processors dedicated to European supercomputers. In this context, the intern will contribute to the optimization of HPC and AI workloads by leveraging advanced architectural features such as Scalable Vector Extension (SVE) vectorization and heterogeneous memory systems. During this internship, you will: * Evaluate the maturity of the AI software stack used for benchmarking, including frameworks such as MLPerf and similar benchmarks. * Test and optimize various machine learning frameworks, including TensorFlow , PyTorch , and ONNX Runtime , as well as mathematical libraries and different parallelization strategies. * Conduct comparative performance studies on AArch64 and x86 architectures. * Perform performance analysis and projections for future generations of SiPearl processors.

Requirements

  • Student in the final year of an engineering school or pursuing a Master's degree in electronics, computer engineering, or a related field
  • Experience in programming with C, C++, and Python.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Understanding of machine learning workflows, including training, inference, and fine-tuning.
  • Knowledge of parallelization techniques for high-performance computing.
  • Familiarity with modern AI models and machine learning concepts.
  • Good written and spoken English

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Knowledge of ARM architecture is a plus.
▶Apply Now

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