Systems Architecture Lab Research Associate Intern

About the Role

The Systems Architecture Lab at HPE Labs 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. HPE Labs is an international research organization dedicated to delivering breakthrough technologies that provide a competitive advantage for HPE. The Systems Architecture research team is diverse and explores new ideas through new and existing markets.

This role is designed as 'Onsite' with an expectation that you will primarily work from an HPE office.

Key Responsibilities

• Accelerate research towards new applications, core methodologies, and technologies in computing systems architecture.
• Focus on technologies for sustainability at HPE.
• Provide thought leadership and technical influence internally and externally to HPE.
• Take innovative ideas and make them real, contributing across the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer.
• Thrive in an applied research environment, balancing significant technical and scientific contributions with the ability to bring such contributions to practice through innovative solutions that address the needs of customers and partners.
• Collaborate with HPE Labs research teams and external partners.
• Work in alignment with HPE's broader innovation community.

Requirements & Tech Stack

• Computer systems, computer architecture, security, memory technology, High Performance Computing systems, large-scale data analytics/machine learning platforms, and/or interconnects.
• Good understanding of the current state of the art, major trends, and opportunities.
• Demonstrated track record in making things real in innovative ways.
• Broad, entrepreneurial interest in creating the next generation of HPE’s products and technologies.
• Ability to generate, frame, and carry out leadership research (e.g., 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.

Depending on the project, the following skills may be preferred:

• 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.

Qualifications

• Pursuing a BS/MS/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.