HPE Labs - Postdoc Research Scientist - Racks Scale Architectures

* PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. computer science, electrical engineering, math, physics, statistics, mechanical engineering, etc.)* Track record of world-class innovative contributions and ideas.* Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer.* Computer architecture* Energy monitoring, measurement, and management* Experience with basic data science tools in Python or R* Experience with at least one cloud orchestration and management tools like Docker, Kubernetes, Slurm, Apache Mesos, etc.* Experience with Python and Go.* Ability to develop rapid understanding of select problems and opportunities.* Deep understanding of the relevant environment, ecosystem, trends, and literature.* Excellent research and development skills.* Ability to innovate, make research contributions, and bring ideas to reality in compelling ways.* Excellent written and verbal communication skills; mastery in English.* Strong track record to work independently and in teams.* Strong systems programming and software engineering skills.* Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.* Familiarity with designing, implementing, and managing rack scale architectures.* Knowledge of hybrid and multi-cloud strategies, including integration with on-premises infrastructure.* Knowledge of implementing sustainable data center practices, including energy-efficient technologies and cooling optimization.* Understanding of sustainability regulations, standards, and best practices as they apply to data center design and operation.* Familiarity with workload scheduling, resource allocation, and optimization in distributed computing environments.* Demonstrated ability to analyze workloads, predict resource requirements, and dynamically allocate resources to meet performance, efficiency, and sustainability goals.HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. 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