High-Performance AI Kernel Engineer
4 weeks ago
We are seeking a highly skilled High-Performance AI Kernel Engineer to join our team at AryaXAI. As a key member of our innovation team, you will be responsible for designing and developing high-performance AI kernels that power state-of-the-art AI models.
Job DescriptionYour primary focus will be on developing and refining low-level CUDA kernel optimizations for deep learning inference and training. You will also profile, debug, and optimize single and multi-GPU operations using tools like Nsight. Additionally, you will deeply understand and exploit GPU memory hierarchies and computational capabilities.
Key Responsibilities- Develop and refine low-level CUDA kernel optimizations for deep learning inference and training.
- Profile, debug, and optimize single and multi-GPU operations using tools like Nsight.
- Deeply understand and exploit GPU memory hierarchies and computational capabilities.
- Implement cutting-edge methods from research papers into CUDA kernels.
We are looking for candidates with a proven track record of excellence in GPU programming and AI system optimization. The ideal candidate should have expertise in designing high-performance GeMM CUDA kernels using Tensor cores or CUDA cores, leveraging tools like CuTe or CUTLASS.
Salary InformationThe estimated salary range for this position is between $120,000 and $180,000 per year, depending on experience and qualifications.
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