GPU Architectural Engineer

2 days ago

Bhavnagar, Gujarat, India beBeeGpu Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

High-Performance Computing Expertise

We are seeking an experienced GPU programming professional to join our team and push the boundaries of machine learning solutions. With a strong background in one or more platforms such as NVIDIA CUDA, AMD ROCm/HIP, or OpenCL, you will be at the forefront of developing and optimizing GPU-accelerated components for machine learning pipelines.

The ideal candidate has a solid understanding of:

  • Developing, optimizing, and maintaining high-performance GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL
  • Analyzing and improving GPU kernel performance through profiling, benchmarking, and resource optimization
  • Optimizing memory access, compute throughput, and kernel execution to improve overall system performance on target GPUs
  • Porting existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability

You will collaborate with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions into cutting-edge projects. A deep understanding of GPU architecture, memory hierarchy, and parallel programming models is essential for success in this role.

Required qualifications include:

  • 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
  • Proficiency in C/C++ and hands-on experience developing on Linux-based systems

Preferred qualifications include familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries, as well as exposure to AI/ML workloads, computer vision, or video/image processing.

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