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24 hours ago
We seek a skilled GPU acceleration engineer to develop and optimize high-performance machine learning workloads.
Key Responsibilities:
- Design, develop and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP or OpenCL.
- Profile and analyze GPU kernel performance to identify areas of improvement.
- 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.
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.
Preferred Skills:
- 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.
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