Accelerating Innovation Through Expert GPU Engineering

1 day ago


Nashik, Maharashtra, India beBeeGpuEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
GPU Programming Engineer

As a skilled GPU programming engineer, you will focus on developing and optimizing GPU-accelerated solutions for high-performance machine learning workloads.

Key Responsibilities:
  • Develop and maintain GPU-accelerated components using frameworks such as CUDA, HIP, or OpenCL.
  • Improve GPU kernel performance through profiling and resource optimization.
  • Enhance memory access, compute throughput, and kernel execution to improve overall system efficiency.
  • Port existing CPU-based implementations to GPU platforms while ensuring correctness and scalability.
Required Skills and Qualifications:
  • Hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Possess 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.
  • Demonstrate a strong understanding of GPU architecture, memory hierarchy, and parallel programming models.
  • Exhibit proficiency in C/C++ and hands-on experience developing on Linux-based systems.
Benefits of the Position:

The successful candidate will have opportunities to contribute to cutting-edge projects and develop expertise in GPU programming.

Additionally, they will be part of a collaborative team environment that fosters innovation and growth.



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