GPU Performance Optimization Specialist

1 day ago

Kanpur, Uttar Pradesh, India beBeeGpu Full time US$ 10,00,000 - US$ 15,00,000

GPU Programming Engineer: Unlock High-Performance Machine Learning

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Job Summary

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We are seeking a skilled GPU programming engineer to develop, optimize, and deploy high-performance machine learning solutions using GPU-accelerated architectures.

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The ideal candidate has expertise in GPU programming across multiple platforms, including NVIDIA CUDA, AMD ROCm/HIP, and OpenCL, with a strong understanding of parallel computing, performance tuning, and ML system integration.

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Key Responsibilities

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  • Design and implement GPU-accelerated components for machine learning pipelines using frameworks like CUDA, HIP, or OpenCL.">
  • Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.">
  • Optimize memory access, compute throughput, and kernel execution to enhance overall system performance on target GPUs.">
  • Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.">
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Required Skills and Qualifications

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To succeed in this role, you will need:

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  • Bachelor's or master's degree in computer science, electrical engineering, or a related field.">
  • 3+ years of hands-on 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.">
  • Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto.">
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Preferred Qualifications

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A plus if you have:

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  • Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.">
  • Exposure to AI/ML workloads, computer vision, or video/image processing.">
  • Experience with multi-GPU programming or heterogeneous computing environments.">
  • Knowledge of OpenACC, SYCL, or other directive-based programming models.">
"]},

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