High Performance GPU Developer

2 days ago

Meerut, Uttar Pradesh, India beBeeGPUEngineering Full time ₹ 15,00,000 - ₹ 25,00,000
GPU Programming Engineer

Our team is looking for an experienced GPU programming engineer to join us. As a key member, you will focus on developing, optimizing and deploying GPU-accelerated solutions for high performance machine learning workloads.

You will utilize your strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) to drive innovation and excellence.

Key Responsibilities:

  • GPU-Accelerated Components: Develop, optimize and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.
  • Kernels Performance: Analyze and improve GPU kernel performance through profiling, benchmarking and resource optimization.
  • System Optimization: Optimize memory access, compute throughput and kernel execution to improve overall system performance on the target GPUs.
  • Porting Implementations: Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.
  • Cross-Functional Collaboration: Work closely with system 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.

Preferred Qualifications:

  • Familiarity with cuDNN, TensorRT, OpenCL or other GPU computing libraries.
  • Exposure to AI/ML workloads, computer vision or video/image processing.
  • 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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