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analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development practices to ensure code quality Experience with computational
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infrastructure, including Docker-based microservices, large language model (LLM) inference servers on GPU clusters, vector database and retrieval-augmented generation (RAG) pipelines, and observability stacks
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microservices, large language model (LLM) inference servers on GPU clusters, vector database and retrieval-augmented generation (RAG) pipelines, and observability stacks that advance AI capabilities across
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implementation for core capabilities such as distributed training and inference, workflow orchestration, GPU/accelerator utilization, model registries and artifact management, vector search and retrieval-augmented
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automation tools (e.g., Ansible, PowerShell) and scripting languages. Strong understanding of CPU and GPU environments, network protocols, storage solutions, and cloud technologies. Knowledge of security best
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral communication skills. Motivated self-starter with the ability to work independently
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with multiple deployment mechanisms like Diskless, Warewulf, and traditional deployment (cobbler, PXEboot, and/or Bright). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML