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Founding ML Engineer

Job Description

Our R&D team is focused on creating the most effective engine for deploying generative AI models, with efforts ranging from precise GPU kernel fine-tuning to comprehensive system optimizations.

We're looking for an expert level engineer with a strong background in either CUDA, ROCm, or Triton kernel optimization. Your role will involve leading substantial improvements in GPU performance and playing a key role in pioneering AI and machine learning initiatives.

Job Responsibilities


  • Explore and analyze performance bottlenecks in ML training and inference.

  • Develop and optimize high-performance computing kernels in Triton, CUDA, and/or ROCm.

  • Implement programming solutions in C/C++ and Python.

  • Deep dive into GPU performance optimizations to maximize efficiency and speed.

  • Collaborate with the team to extend and improve existing machine learning compilers or frameworks such as MLIR, Pytorch, Tensorflow, ONNX Runtime, TensorRT. (This is optional but beneficial)

Job Requirements


  • Bachelor's, Master’s or PhD’s degree in Computer Science, Electrical Engineering, or a related field.

  • Strong programming skills in C/C++ and Python.

  • Deep understanding and experience in GPU performance optimizations.

  • Proven experience with kernel optimizations on CUDA, ROCm, or other accelerators.

  • General experience with the training and deployment of ML models

  • Experience with distributed systems development or distributed ML workloads

  • (Optional but preferred) Experience with innovative OSS projects like FlashAttention, mlc-llm, vllm.

  • (Optional but preferred) Experience with machine learning compilers or frameworks such as TVM, MLIR, Pytorch, Tensorflow, ONNX Runtime, TensorRT.

Interview Process

2 Technical Rounds

machine-learning

Apply Now
Job Type

Full time contract

Category

Machne learning developer



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