Accelerate Performance with Expertise in GPU Programming

5 days ago

Thoothukudi, Tamil Nadu, India beBeeGpuacceleration Full time ₹ 8,00,000 - ₹ 15,00,000

GPU Acceleration Engineer

We are seeking an experienced engineer to join our team and work on developing, optimizing, and deploying GPU-accelerated solutions for high performance machine learning workloads.

The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.


Key Responsibilities:

  • Develop, 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.
  • Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions.

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.

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