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Senior Machine Learning Solutions Developer
2 weeks ago
We are seeking an experienced GPU programmer to lead the development of high-performance machine learning solutions. In this role, you will be responsible for designing and implementing optimized GPU-accelerated components using frameworks such as CUDA, HIP, or OpenCL.
Key Responsibilities:- 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 enhance overall system performance on target GPUs.
- Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.
- Collaborate 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.
- At least 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.
