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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient
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and maximize model performance and generalizability. Optimize data processing and retrieval workflows to minimize latency and maximize throughput, leveraging parallel processing, caching, and other
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diagnostics. Experience with Infiniband networks and diagnostics. Extensive experience with High Performance Parallel File Systems (Lustre, WEKA, GPFS, etc). Experience with performance and diagnostic tools
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. Understanding of massive high performance parallel storage and methodologies. Expert knowledge of Unix/Linux systems administration, including all aspects of management, monitoring, performance analysis, and
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and processes) by shadowing as well as receiving coaching and tutoring from one of our Senior PA Engineers. You will perform this task in parallel to specific Mission Classification activities described
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) and/or cloud computing and/or similar areas of computing. Experience working with researchers/scholars. Experience and proficiency with storage systems, especially parallel and/or distributed storage
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feel, perfecting a unique balance between a close-knit community and driving consistent growth and development. Paralleling the exponential growth of Auburn University, the Auburn/Opelika area boasts
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computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and dissemination
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research software engineering experience to develop robust software solutions to solve challenging research problems. Port, debug, tune and potentially parallelize existing research code to meet criteria set
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communicating with relevant actors in the industry The department has a parallel language work environment. The assistant senior lecturer will be able to perform most academic tasks in English. However, as