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HPE Labs - Postdoc Research Scientist - Racks Scale Architectures. This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. We are currently seeking highly qualified, self-motivated postdoc to accelerate research towards new rack scale architectures, core methodologies and technologies in computing systems with a focus on technologies at HPE Labs.
Job Responsibility:
Provide thought leadership and technical influence both internally and externally to HPE
Take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Collaborate with HPE Labs research teams as well as with external partners
Work in alignment with HPE's broader innovation community
Accelerate research towards new rack scale architectures, core methodologies and technologies in computing systems
Requirements:
Pursuing 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
Nice to have:
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