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such as quantization, model pruning, approximate attention (linear and sparse) and proposing new mechanisms for tackling speed, accuracy, as well as energy issues, for large language mode (LLM) inferencing
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synthetic data Experience with generative AI methods and libraries (architectures like large language models and vision transformers, inference engines like vLLM, domain specific languages like Triton
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. Knowledge of Python programming language. Preferred Qualifications: Experience with object-oriented programming languages (especially C++), version control system (Git) and software development practices
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Systems. Three (3) or years of proven experience with configuration management and automation tools such as Git, Jenkins, Ansible, or Puppet. Moderate proficiency in at least one scripting language such as
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automation tools such as Git, Jenkins, Ansible, or Puppet. Moderate proficiency in at least one scripting language such as Bash, Python, or others. Experience performing advanced troubleshooting and system
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systems (e.g., Mecurial, Git, SVN). Experience with Microsoft Office Word, Excel, PowerPoint, SharePoint. Familiar with NI LabVIEW graphical programming language. Familiar with network security measures