Graduate Summer Intern – I/o Optimization For Data-intensive Workflows On Hpc

NLR

Golden, CO, US
Base: $44,500 - $71,200; bonus/equity: not specifi...
Fully remote
Hpc workflow i/o optimization
Analyze storage structure
Utilize profiling tools
NLR is seeking a Graduate Summer Intern focused on I/O optimization for data-intensive workflows on high-performance computing (HPC) systems. The position involves collaboration on performance evaluation and improvement of scientific workflows, with a strong emphasis on programming skills and experience in data management

Job Summary

  • The intern will help evaluate the performance and efficiency of I/O operations within scientific computing workflows.
  • The successful candidate will collaborate with NLR staff and researchers to optimize the performance of scientific workflows in HPC.
  • Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law).

Matching Summary

Match Score: 85

NLR is seeking a Graduate Summer Intern focused on I/O optimization for data-intensive workflows on high-performance computing (HPC) systems. The position involves collaboration on performance evaluation and improvement of scientific workflows, with a strong emphasis on programming skills and experience in data management.

Salary

Base: $44,500 - $71,200; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 403(b) with match, sick leave

Skills & Requirements

Must-have

  • HPC workflow I/O optimization
  • Analyze storage structure
  • Utilize profiling tools
  • Design I/O benchmarks
  • Process and visualize results
  • Author technical papers

Nice-to-have

  • Interest in NLR mission
  • Dynamic, motivated researcher
  • Collaborative culture
  • Fast-paced scientific environment

Key Requirements

  • Minimum 3.0 GPA
  • Full-time student enrollment
  • Programming experience in Python/Julia
  • Shell scripting and Conda/Jupyter use
  • 2+ years PyTorch/Tensorflow experience
  • Experience with large data sets
  • Familiarity with HPC profiling tools
  • Experience developing workflows

Work Rights

Not specified

Tailored Resume

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