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routine maintenance on fixed and rotary wing aircraft. Operate and maintain ground support equipment (e.g., tugs, forklifts, GPUs, snow plows, vehicles). Maintain and set up hangar, lab, and shop areas
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-of-the-art AI computing infrastructure with large-scale GPU clusters. * Opportunities to collaborate with investigators across Mayo Clinic Arizona, Rochester, and Florida campuses. * Integration with
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, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting
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, deployment, and test activities • Experience integrating software with hardware, sensors, or embedded systems • Familiarity with GPU-based code development (e.g., CUDA, TensorFlow, etc.) • Familiarity with AI
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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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), which operates a large multi-thousand-core cluster with GPU co-processors and PhD-level consulting staff. Pitt ECE also leads the NSF Center for Space, High-performance, and Resilient Computing (SHREC
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their understanding and utilization of HPC resources. KNOWLEDGE Required Knowledge of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific
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these fields, demand for GPU resources for AI has increased significantly in recent years. We operate modern HPC clusters, visualisation resources and advanced storage systems, and continuously develop new
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documentation practices. Experience with GPU-accelerated hardware platforms and software engineering including NVIDIA GPUs and CuPy/CUDA/C++ programming. Familiarity with 5G/6G wireless standards and AI/ML
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tasks and meet competing deadlines by using judgement and initiative. Desirable Skills and Experience (Advantageous but not Essential): Experience with high‑performance compute (HPC) or GPU‑accelerated