HPE Labs - Systems Architecture Lab Research Associate Intern

HPE Labs - Systems Architecture Lab Research Associate InternThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

The Systems Architecture Lab is currently 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 an international research organization with its headquarters and largest facility located in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), HPE Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets.

The Systems Architecture research team is diverse, with a broad range of skillsets and expertise that enables the exploration and development of new ideas not possible in more traditional monolithic research organizations.

We are seeking highly qualified candidates to join one of our research teams as an intern, with the possibility of longer-term co-innovation and collaboration. We are particularly interested in individuals with a background in computer systems, computer architecture, security, memory technology, High Performance Computing systems, large-scale data analytics/machine learning platforms, and/or interconnects, with a good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in making things real in innovative ways. The ideal candidate combines this interest with a broad, entrepreneurial interest in creating the next generation of HPE’s products and technologies.

We expect all our researchers (including interns and post-docs) to provide thought leadership and technical influence both internally and externally to HPE, as well as take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer. The ideal candidate can 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 our customers and partners. We expect the successful candidate to collaborate with HPE Labs research teams as well as with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills are a significant plus.

Education and Experience

• Pursuing 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.
• Demonstrated ability to generate, frame, and carry out leadership research (for example, via papers published in top-tier conferences or journals) is required.
• Strong track record to work independently and in teams.

Technical Skills:

• 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
• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
• Working knowledge of Compiler Technologies and Machine Learning
• Basic knowledge of computer architecture and server hardware

Depending on 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 is a plus.
• 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 are a plus.
• 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

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Administration

Job Level:

N/A"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 90,002 - 193,752 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.