GPU Kernel Optimization Engineer

1 week ago


Mumbai, Maharashtra, India AryaXAI Full time
About AryaXAI

AryaXAI is a pioneer in AI innovation, dedicated to creating explainable, safe, and aligned systems that scale responsibly. Our mission is to empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.

Job Description

We are seeking a highly skilled GPU Kernel Optimization Engineer to join our team and push the boundaries of high-performance AI computation. In this role, you will design, develop, and optimize GPU kernels that power state-of-the-art AI models. Your work will directly influence the performance and scalability of our AI systems.

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.
Requirements

To be successful in this role, you should bring:

  • Expertise in designing high-performance GeMM CUDA kernels using Tensor cores or CUDA cores, leveraging tools like CuTe or CUTLASS.
  • Proficiency in extending or writing custom attention and deep learning kernels from scratch.
  • Strong optimization skills for both memory-bound and compute-bound operations.
  • Advanced knowledge of GPU architecture, including register pressure, shared-memory usage, and GPU utilization.
Benefits

You'll enjoy:

  • Mission-Driven Impact: Work on challenges that shape the future of responsible AI.
  • Technical Excellence: Collaborate with a team of passionate and experienced professionals.
  • Growth Opportunities: Contribute across domains and expand your expertise in GPU kernel development and AI research.
  • Flexible Work Environment: Choose between remote work or relocation support to one of our key offices.

The estimated salary for this position is $120,000 - $180,000 per year, depending on experience.



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