GPU Architect Specialist

3 days ago

Vijayawada, Andhra Pradesh, India beBeeGpu Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
GPU Programming Engineer Position

We are seeking an experienced GPU programming professional to fill a critical role in our organization.

This position involves developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads.

Key Responsibilities:
  • Design, develop, 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 techniques.
  • 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.
  • Collaborate with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions into the organization's infrastructure.
Required Skills and Qualifications:
  • Bachelor's or master's degree in computer science, electrical engineering, or a related field.
  • At least 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 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.
  • Experience with AI/ML workloads, computer vision, or video/image processing.
  • Knowledge of multi-GPU programming or heterogeneous computing environments.
  • Experience with directive-based programming models such as OpenACC, SYCL, or others.

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