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GPU Acceleration Specialist

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Vadodara, Gujarat, India beBeeGPUProgramming Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Summary

A highly skilled GPU Programming Professional is required to join our team. In this exciting role, you will be responsible for developing, optimizing and maintaining GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP or OpenCL.

Key Responsibilities:
  • Design and implement efficient GPU-accelerated algorithms and data structures to optimize system performance on target GPUs.
  • Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization techniques.
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing systems and infrastructure.
  • Develop and maintain high-quality code in C/C++ and other programming languages as required.
  • Stay up-to-date with the latest advancements in GPU architecture, memory hierarchy, and parallel programming models.
Required 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 hands-on experience developing on Linux-based systems.
  • Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto.
Benefits
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.
  • Competitive salary and benefits package.