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The Systems Architecture Lab is seeking highly qualified, self-motivated interns to accelerate research towards new applications, core methodologies and technologies in computing systems architecture with a focus on technologies for sustainability at HPE Labs. HPE Labs is the central research organization for Hewlett Packard Enterprise, delivering breakthrough technologies and technology advancements that provide a competitive advantage for the company.
Job Responsibility:
Accelerate research towards new applications, core methodologies and technologies in computing systems architecture with a focus on technologies for sustainability
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
Requirements:
Pursuing BS/MS/PhD degree 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
Demonstrated ability to generate, frame, and carry out leadership research (for example, via papers published in top-tier conferences or journals)
Strong track record to work independently and in teams
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 systems programming and software engineering skills
Working knowledge of Compiler Technologies and Machine Learning
Basic knowledge of computer architecture and server hardware
Nice to have:
Familiarity with designing, implementing, and managing cloud architecture
Knowledge of hybrid and multi-cloud strategies, including integration with on-premises infrastructure
Knowledge of implementing green 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
Experience programming in C, C++, Python, Go, etc.
Knowledge of programming frameworks and libraries such as HPC Mercury, ZeroMQ, CUDA, OpenCL, Libfabric, Pytorch, Simplivity and Kubernetes and GPU programming
Experience with at least one cloud orchestration and management tools like Docker, Kubernetes, Slurm, Apache Mesos, etc.
Experience with serverless platforms like Knative, OpenFaas, etc.
Preferred knowledge of Data Analytics and Applied Mathematics
Experience with different accelerators (e.g: GPU, FPGA, ASICs, etc)
Experience with Linux kernel
Experience programming FPGAs in HLS or System Verilog
Experience with basic data science tools in Python or R
What we offer:
Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
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