
GPU Expert Specialist
5 days ago
We are seeking a skilled professional to fill this GPU programming engineer role.
This position involves developing, optimizing, and deploying high-performance machine learning workloads on GPUs.
Key Responsibilities:- Develop and maintain GPU-accelerated components for machine learning pipelines using CUDA, HIP, or OpenCL.
- Analyze kernel performance through profiling, benchmarking, and resource optimization.
- Optimize memory access, compute throughput, and kernel execution for improved system performance on target GPUs.
- Port existing CPU-based implementations to GPU platforms ensuring correctness and performance scalability.
- Bachelor's or master's degree in computer science or related field.
- At least 3 years of experience in GPU programming with CUDA, HIP, OpenCL, or other GPU compute APIs.
- Strong understanding of GPU architecture, memory hierarchy, and parallel programming models.
- Proficiency in C/C++ and experience developing on Linux-based systems.
- Familiarity with profiling tools such as Nsight, rocprof, or Perfetto.
We offer a dynamic work environment with opportunities for growth and development. If you have a strong background in GPU programming and a passion for innovation, we encourage you to apply for this challenging role.
Please note that only qualified candidates will be contacted for further evaluation. We thank all applicants for their interest in our organization. However, due to the volume of applications received, we cannot respond to every submission. For more information about our company culture and values, please visit our website at [Your Company Website].
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