
Accelerating Machine Learning Solutions with Expert GPU Programming
21 hours ago
We are seeking a skilled GPU Programming Engineer to join our team. This role focuses on developing, optimizing, and deploying high-performance machine learning solutions using GPUs.
Job Summary:
- Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines.
- Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.
- Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs.
- Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.
Required Skills and 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.
This job offers a unique opportunity to leverage your expertise in GPU programming and contribute to the development of cutting-edge machine learning solutions.
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