Collaborates with appropriate stakeholders to determine user requirements for a scenario. Drives identification of dependencies and the development of design documents for a product, application, service, or platform. Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI). Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items. Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate. Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python 3+ years of experience in operating AI/HPC systems, developing and running AI/HPC applications on clusters, or operating Cloud Infrastructure. 2+ years of specialized experience with one of AI/HPC system management OR High-Speed Networks OR HPC Storage OR managing Cloud Infrastructure. Bachelor's Degree in Computer Science OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 1+ years previous experience with running and troubleshooting machine learning workloads on GPU-based HPC systems. 1+ years experience with Cloud Computing, Virtualization and Container Technologies. Familiarity with the HPC software stack.
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