GPU Engineer

il y a 2 semaines

Paris, Île-de-France Kog AI Temps plein

KOG:

Kog is a French deeptech company building an ultra-fast AI execution layer for real-time AI.

We target up to 10x gains through GPU optimization and, crucially, up to 10x gains through model and training architecture design.

We start on AMD GPUs and will expand to other accelerators.

Our aim is a modular, real-time AI platform where developers and users can generate, customize, and operate AI agents and applications collaboratively, with a strong focus on European sovereignty, efficiency, and user control.

KOG:

  • An early-stage startup was created a little over a year ago
  • Real-time AI platform aimed at revolutionizing how artificial intelligence is used in digital experiences
  • The goal is to make AI faster, more efficient, and more intuitive
  • Creative optimization at a very low level with our solutions
  • Seek out new ideas and implement them ambitiously
  • Do not copy what already exists
  • The inference engine optimizes AI performance at the assembly level
  • Bypassing traditional abstraction layers
  • Significant advancements in several areas: inter-GPU communication, kernel fusion, grid synchronization, and memory access optimization
  • The inference engine offers speed improvements 3 to 10 times greater compared to the best GPU alternatives starting with AMD MI300X
  • The goal is to unlock uses such as collaboration for complex creation (video games, films, music, applications, software, etc.)
  • The link between GPUs and the product is real-time AI
  • Creation of dynamic interfaces thanks to real-time AI

  • Kog is therefore based on two axes:

  • Hardcore GPU Engineering

  • Stream R&D: new model architectures optimized for speed
  • Final objective: 10x on GPUs and 10x on model architecture, thus 100x in total

POSITION:

We wish to strengthen our world-class team with technically brilliant individuals who want to take on this challenge. Your missions will include:

  • Implementing cutting-edge AI models in low-level C++ code and Assembly on high-end AMD and NVIDIA GPUs
  • Reverse-engineering subtle GPU features (such as memory page mappings, memory channels, hash functions, cache behaviors, credit assignment logic, etc.)
  • Leveraging this knowledge to find and implement creative optimization ideas
  • Optimizing the Kog inference engine to make AI inference incredibly fast (10x compared to vLLM, SGLang, or TensorRT-LLM—we are already at 3x)

What we offer:

  • Competitive salary
  • Equities (BSPCE)
  • Elite technical challenges
  • World-class team (9 engineers, including 3 PhD)
  • A creative environment where your goal is to push back the limits
  • Equipment you'll need to perform
  • WeWork offices in the 13th district of Paris (near Station F)
  • Afterworks during our Paris week

You can apply right below if you feel that you're up to the task

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