Senior Machine Learning Engineer

3 days ago

Dindigul, Tamil Nadu, India beBeePerformance Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
GPU Engineer Position

We are seeking a highly skilled GPU engineer to develop, optimize, and deploy high-performance machine learning solutions using GPU-accelerated technologies.

In this role, you will work on designing, implementing, and maintaining GPU-based components for machine learning pipelines. Your primary responsibility will be to analyze, improve, and optimize GPU kernel performance through profiling, benchmarking, and resource optimization.

  • Key Responsibilities:
  • Design and implement efficient GPU-accelerated algorithms and data structures for machine learning workloads.
  • Optimize memory access, compute throughput, and kernel execution to enhance overall system performance on the target GPUs.
  • Develop and maintain high-quality code for GPU-accelerated components, adhering to industry standards and best practices.
  • Collaborate with cross-functional teams, including software engineers, system architects, and domain experts, to integrate GPU-accelerated solutions into larger systems.
  • 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 parallel computing, memory hierarchy, and GPU architecture.
  • 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.
  • 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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