Accelerating Machine Learning Workloads with GPU Computing

1 day ago

Chennai, Tamil Nadu, India beBeeGPUDeveloper Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
GPU Accelerated Solutions Developer

We are seeking an experienced programmer to develop, optimize and deploy GPU-accelerated solutions for high-performance machine learning workloads.

Key Responsibilities
  • 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.
  • Optimize memory access, compute throughput and kernel execution to improve 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.
Required Skills and Qualifications
  • Bachelor's or master's degree in computer science, electrical engineering or a related field.
  • 2+ 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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