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2 weeks ago
Job Opportunity: High-Performance Computing Expert
">About the Role:
This is a unique opportunity to leverage your expertise in GPU programming and join our team of innovative professionals working on cutting-edge machine learning projects. As a GPU programming engineer, you will be responsible for developing, optimizing, and maintaining high-performance components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.
">Key Responsibilities:
- Develop efficient algorithms for GPU-accelerated components to improve overall system performance on target GPUs.
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions, ensuring seamless integration and optimal performance.
- Analyze and optimize memory access, compute throughput, and kernel execution to achieve outstanding results.
- Port existing CPU-based implementations to GPU platforms while ensuring correctness and scalability.
- Work closely with domain experts to develop innovative solutions that meet complex business requirements.
Required Qualifications:
- Strong background in computer science, electrical engineering, or related field.
- Hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.
- Deep 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.
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