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Open nowPosted 331 days ago

R&D Intern – High-Performance Computing & Compilers (End-of-Studies / PFE)

hybridizer5 open roles

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International
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Your applicationOpen nowR&D Intern – High-Performance Computing & Compilers (End-of-Studies / PFE)hybridizer · International

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12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 331 days ago

The posting

Your Mission

As an R&D Intern, you will be fully integrated into the engineering team. You will work on concrete features of our compiler and help us validate our technology against real-world scenarios.

  • Think: Analyze the performance of generated code. You will study how specific algorithms behave on a GPU versus a CPU and identify bottlenecks. You will learn to read and understand the "Assembly" (PTX/LLVM) generated by our tools.
  • Implement: Develop new intrinsic functions to expose specific hardware capabilities (like Tensor Cores or SIMD instructions) to high-level languages. Port standard mathematical algorithms (linear algebra, stencils, image processing) using Hybridizer to demonstrate our capabilities. Fix bugs and improve the robustness of the compiler infrastructure.
  • Build: Benchmarking & Testing: Create automated performance tests to compare our generated code against hand-written CUDA/C++. Samples & Demos: Build simple, clean code examples and "Getting Started" projects to help new users understand how to use Hybridizer. Documentation: document new features and create technical content explaining how to optimize code using our tools.

What You Bring to the Table

We are looking for a student passionate about low-level programming and performance. You don't need to know everything yet, but you must be eager to learn complex concepts.

  • Education: Currently enrolled in a French "Grande École" d'Ingénieurs or a Master 2 in Computer Science (specialization in HPC, Systems, or Applied Math is a plus).
  • Core Coding Skills: Strong proficiency in C++ or C#. You understand pointers, memory management, and object-oriented programming.
  • HPC Interest: You have some knowledge of (or a strong desire to learn) CUDA, OpenMP, or GPU architecture.
  • Math & Logic: You are comfortable with algorithmics and standard engineering mathematics (linear algebra, numerical methods).
  • Mindset: You are rigorous, curious, and comfortable reading technical documentation in English. You enjoy solving puzzles and understanding how things work "under the hood."
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