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

hybridizer
🇺🇸 United States | 🇫🇷 France
Hybrid
Internship
10 months ago
  • CUDA
  • C++
  • C#
  • Object Oriented Programming
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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 aMaster 2 in Computer Science (specialization in HPC, Systems, or Applied Math is a plus).

  • Core Coding Skills: Strong proficiency inC++ orC#. 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."

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

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