High Performance Machine Learning Solutions Architect

6 days ago

Tiruchi, Tamil Nadu, India beBeeGpu Full time ₹ 18,00,000 - ₹ 25,00,000
GPU Programming Engineer">A highly skilled GPU programming engineer is required to design and develop high-performance machine learning solutions using GPU-accelerated architectures.

Key Responsibilities:

  • Design, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as 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 improve overall system performance on the target GPUs.
  • Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.

Requirements:

  • 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.

Preferred Qualifications:

  • 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 is a plus.

As a talented GPU programmer, you will be part of a dynamic team that aims to revolutionize the field of artificial intelligence and machine learning. If you have a passion for innovative technology and are eager to push boundaries, we encourage you to apply for this exciting opportunity.

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