
High-Performance Computing Specialist
6 days ago
We are seeking an experienced GPU programming professional to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads.
The ideal candidate has strong expertise in GPU programming across one or more platforms and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.
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 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.
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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