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Stanford Data Science is hiring :


Stanford University is planning a major investment in a GPU-centric system to enable large-scale and broad data-intensive research requiring advanced machine learning techniques, including large language models. A system like this requires specialized skills to effectively harness the hardware to enable new scientific discoveries. Stanford seeks an individual to launch the design and eventually build the team of research data scientists needed to (a) teach groups how to take advantage of the system and (b) design and optimize the hardware and software architectures. Ideal candidates must combine expertise in high-performance computing, software engineering, and large-scale systems with a deep understanding of academic research practices.

The position will provide strategic leadership for the new GPU-centric computing infrastructure, manage affiliated research data scientists, and exercise the delegated authority for policy and programmatic decisions. The candidate will achieve teaching and research goals and partner with faculty leadership on the larger data science mission at Stanford.

 

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