
GPU Systems Engineer
2 days ago
We are seeking a skilled GPU programming expert to spearhead the development, optimization, and deployment of GPU-accelerated solutions for high-performance machine learning workloads.
Key Responsibilities- Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.
- Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.
- Optimize memory access, compute throughput, and kernel execution to enhance overall system performance on target GPUs.
- Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.
- Collaborate closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions.
- 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.
- 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 beneficial.
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Artificial Intelligence Expert
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