High-Performance Machine Learning Workload Developer

7 days ago


Chennai, Tamil Nadu, India beBeeGpu Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

GPU Programming Engineer

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Our organization is seeking a skilled GPU programming professional to spearhead the development of high-performance machine learning workloads. In this capacity, you will be responsible for creating, optimizing, and deploying cutting-edge GPU-accelerated solutions.

Key Responsibilities:
  • Develop, refine, and maintain GPU-accelerated components for machine learning pipelines utilizing frameworks such as CUDA, HIP, or OpenCL.
  • Analyze and enhance GPU kernel performance through profiling, benchmarking, and resource optimization techniques.
  • Optimize memory access, compute throughput, and kernel execution to elevate overall system performance on target GPUs.
  • Port existing CPU-based implementations to GPU platforms while ensuring accuracy and performance scalability.
Required Qualifications:
  • Bachelor's or master's degree in computer science, electrical engineering, or a related field.
  • Minimum 3 years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.
  • Strong comprehension 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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