
HPC System Architect
1 week ago
We are seeking a seasoned expert to lead the administration and operation of our Linux-based High-Performance Computing (HPC) environment.
This role involves providing hands-on support for HPC system software, troubleshooting issues across hardware, software, OS, and networking layers, and collaborating with engineers to support AI/deep learning applications.
Key Responsibilities:- Manage and operate HPC Linux clusters, storage systems, and high-speed networks.
- Support HPC system software including cluster management, parallel file systems, and job schedulers.
- Troubleshoot and resolve complex technical issues.
- Collaborate with engineers on AI/deep learning application support.
- Advise researchers on application development, debugging, optimization, and parallelization.
- Plan and execute HPC application tuning and parallelization.
- Provide expert-level guidance on job management and code execution.
- Engage with end-users to support numerical simulation applications.
- Support Distributed Data Parallel (DDP) training across multi-GPU setups.
- Assist users with AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Bachelor's or Master's degree in Computer Science, Engineering, Physics, or a related field.
- At least 5 years of experience with large-scale HPC systems, including cluster operations and user support.
- In-depth knowledge of parallel programming and code optimization using languages like Fortran, C, C++, and libraries like MPI, OpenMP.
- Proficient in Linux OS administration and scripting for system automation.
- Strong understanding of HPC system architecture, performance tuning, and resource management.
- Experience with numerical simulations, such as weather forecasting, climate modeling, and CFD applications.
- Familiarity with AI/DL tools and scalable training across multi-GPU environments.
- Experience with HPC job scheduling systems like SLURM, LSF, or PBS.
- Highly motivated and results-driven with strong problem-solving skills.
- Excellent collaboration and interpersonal skills.
- Strong verbal and written communication skills.
- Confident in presenting technical topics to diverse audiences.
- Proactive and resourceful with a strong customer service orientation.
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