
High-Performance Computing
5 days ago
Summary:
We are seeking a highly experienced and driven High-Performance Computing (HPC) Engineer or Scientist to support our Linux-based HPC environment which includes compute clusters, parallel storage and high-speed networking used by researchers, staff and students. This role also involves customer-facing responsibilities including application support, system optimization and AI/DL workload integration.
Key Responsibilities:
- Lead the administration and operation of HPC Linux clusters, storage systems and high-speed networks.
- Provide hands-on support for HPC system software including cluster management, parallel file systems and job schedulers (e.g., SLURM, PBS, etc.).
- Troubleshoot and resolve issues across hardware, software, OS and networking layers.
- Collaborate with software engineers to support AI/deep learning applications and desktop engineers for user support.
- Advise and train researchers, postdocs and students on application development, debugging, optimization and parallelization.
- Plan and execute HPC application tuning and parallelization on behalf of users and research projects.
- Supervise end-user production operations on HPC infrastructure and provide expert-level guidance on job management and code execution.
- Engage with end users to support numerical simulation applications including weather forecasting, aeronautics and climate modeling.
- Support Distributed Data Parallel (DDP) training across multi-GPU setups for scaling deep learning models.
- Assist users with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers and PyTorch Lightning.
- Utilize performance tools like Allinea DDT, TotalView and compiler analyzers to optimize and debug HPC workloads.
- Deliver HPC training workshops, documentation and onboarding for new users.
Job Requirements:
- 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: Fortran, C, C++
Libraries: 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 such as SLURM, LSF or PBS.
Desired Attributes:
- Highly self-motivated and results-driven with strong problem-solving skills.
- Team player with 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.
Please send your detailed resume in MS Word format to resume@goldtecHRs.com with
- Education Level
- Working experiences
- Each employment background
- Reason for leaving each employment
- Last drawn salary
- Expected salary
- Date of availability
TensorFlow
Service Orientation
MPI
Fortran
Tuning
PyTorch
Climate
Performance Tuning
Simulations
Resource Management
System Architecture
Parallel Programming
C++
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