Advanced High-Performance Computing Specialist
3 days ago
A skilled GPU programming engineer will be responsible for developing, optimizing and deploying high-performance machine learning workloads on various platforms. This includes expertise in GPU programming languages such as CUDA, HIP or OpenCL and a strong understanding of parallel computing models.
Required Skills and Qualifications:
- Bachelor's or master's degree in Computer Science, Electrical Engineering or a related field.
- 3+ years 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.
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 improve overall system performance on target GPUs.
- Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.
- Work closely with system architects, software engineers and domain experts to integrate GPU-accelerated solutions.
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