GPU ExpertMachine Learning and High-Performance ComputingExpert-Level Position

3 days ago

Tiruppur, Tamil Nadu, India beBeeGpu Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

GPU Acceleration Specialist

Overview:

  • Design, develop, and deploy high-performance GPU-accelerated solutions for machine learning workloads.

We are seeking an experienced GPU Acceleration Specialist to join our team. In this role, you will focus on developing and optimizing GPU-accelerated components using frameworks such as CUDA, HIP, or OpenCL.

The ideal candidate has strong expertise in GPU programming across one or more platforms and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.

Key Responsibilities:

  • Develop and optimize GPU-accelerated components for machine learning pipelines using 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.
  • Work closely with architects, software engineers, and domain experts to integrate GPU-accelerated solutions.

Required Qualifications:

  • 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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