HPE Labs - Postdoc Research Scientist - Racks… at Hewlett… · Milpitas

Summary: Hewlett Packard Enterprise is a global edge-to-cloud company that is advancing the way people live and work. They are seeking a highly qualified postdoc research scientist to accelerate research on new rack scale architectures and core methodologies in computing systems at HPE Labs. The role involves providing thought leadership and technical influence while collaborating with research teams and external partners. Responsibilities: - Accelerate research towards new rack scale architectures, core methodologies and technologies in computing systems - 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Computer Architecture, Energy Monitoring, Energy Measurement, Energy Management, Data Science Tools - Python, Data Science Tools - R, Cloud Orchestration Tools - Docker, Cloud Orchestration Tools - Kubernetes, Cloud Orchestration Tools - Slurm, Cloud Orchestration Tools - Apache Mesos, Python, Go, Systems Programming, Software Engineering, Research, Development, Rack Scale Architectures, Hybrid Cloud Strategies, Multi-Cloud Strategies, Sustainable Data Center Practices, Workload Scheduling, Resource Allocation, Distributed Computing, Independent Work Benefits: Health & Wellbeing, Personal & Professional Development, Unconditional Inclusion