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Field
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven
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degree in IT or Engineering. Experience in AI and any programming language will be advantageous. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404041/research-engineer-s
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that serves researchers and educators at the University of Utah and beyond. Responsibilities Kubernetes for AI/ML: Design and deploy highly available Kubernetes clusters, optimized for GPU utilization and AI/ML
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that serves researchers and educators at the University of Utah and beyond. Responsibilities Kubernetes for AI/ML: Design and deploy highly available Kubernetes clusters, optimized for GPU utilization and AI/ML
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, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise professional development of direct reports
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent
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to the following Full Medical, dental, vision coverage Paid time off 11 Paid Holidays Tuition remission - eligible employees and their dependents can obtain a degree TUITION FREE A generous retirement plan and
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) Country United Kingdom Application Deadline 21 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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). Strong academic background and competencies in parallel programming, distributed computing, and performance engineering. Familiarity with accelerator programming (e.g, GPU), hardware programming, high