SeniorHPCAIClusterEngineer

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking technologies. We are looking for an outstanding engineer, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. **What you will be doing:** * Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting * Manage Linux job/workload schedules and orchestration tools * Develop and maintain continuous integration and delivery pipelines * Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources * Deploy monitoring solutions for the servers, network and storage * Perform troubleshooting bottom up from bare metal, operating system, software stack and application level * Being a technical resource, develop, re-define and document standard methodologies to share with internal teams * Support Research & Development activities and engage in POCs/POVs for future improvements **What we need to see:** * A degree in Computer Science, Engineering, or a related field and 8+ years of experience * Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software * Experience with job schedulin