Senior Machine Learning Engineer

1 week ago


Ellore, Andhra Pradesh, India beBeeGPU Full time ₹ 15,00,000 - ₹ 22,00,000
GPU Acceleration Engineer

Develop and optimize GPU-accelerated solutions for high-performance machine learning applications.

  • Design, develop, and maintain GPU-accelerated components for ML pipelines using CUDA, HIP, or OpenCL.
  • Improve kernel performance through profiling, benchmarking, and resource optimization.
  • Optimize memory access, compute throughput, and kernel execution to enhance overall system performance on target GPUs.
Required Qualifications:
  • Bachelor's or master's degree in computer science, electrical engineering, or a related field.
  • 3+ years of experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.
  • Strong understanding of GPU architecture, memory hierarchy, and parallel programming models.
  • Proficiency in C/C++ and hands-on experience developing on Linux-based systems.


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