131 python "Computer Vision Center" "Computer Vision Center" positions at Oak Ridge National Laboratory
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utilization. Lead troubleshooting and root-cause analysis of complex HPC infrastructure and performance issues. Automation, Security & Modernization Develop and advance automation using Python, Bash, Ansible
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Python and C or C++. Experience with parallel and distributed computing using technologies such as MPI, distributed machine-learning frameworks, and HPC workload managers. Experience using GPU-accelerated
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, Computer Science, or a closely related field. Strong programming proficiency in C, C++, and Python. Hands-on experience with embedded systems programming, bare-metal development, or Real-Time Operating
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and GitOps workflows, Puppet, Go, Python, Bash, and GitLab CI. Establish and promote reusable automation patterns, configuration standards, and engineering practices for operating Kubernetes clusters
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or CP2K on massively parallel architectures. Solid skills in common scientific programming languages, in particular languages such as FORTRAN, C, C++, and Python Experience in parallel programming with one
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completed within the last 5 years or expected to be completed soon. Expertise in AI/ML methods in an environmental or Earth science context Experience programming in Python or related languages A strong
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, configuration, data collection, and remediation using PowerShell, Python, or other scripting and automation tools. Evaluate and apply AI-assisted capabilities for anomaly detection, predictive analytics, and
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, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial biogeochemistry and nutrient-cycling processes Strong communication skills
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systems (such as mechanical testing, high and low temperature, gas absorption, etc.) and material characteristics in these extreme conditions. Experience with Python or other scripted programming languages
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and cloud computing platforms. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other