High-Performance Computing Specialist
3 days ago
We are seeking an experienced GPU programming engineer to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads.
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.
- Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions.
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.
- Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto.
Benefits:
- Opportunity to work on cutting-edge technologies and contribute to innovative projects.
- Collaborative and dynamic work environment with experienced professionals.
- Professional development opportunities, including training and certification programs.
Others:
- Ability to work independently and as part of a team.
- Excellent communication and problem-solving skills.
- Experience with multi-GPU programming or heterogeneous computing environments is a plus.
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