HPE Labs - Emerging Accelerators Research Associate; Intern

HPE Labs - Emerging Accelerators Research Associate (Intern)

This 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:

We are currently seeking highly qualified, self-motivated interns to accelerate research towards new applications, core methodologies, and technologies in Artificial Intelligence 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 Large Scale Integrated Photonics Lab (LSIP) within HPE Labs focuses on researching and developing technologies, algorithms, architectures, hardware, and software to create cutting edge solutions in key areas spanning Deep Learning and Machine Learning, Silicon-Photonics for compute and interconnect, and Optimization and other Quantum-Inspired applications. This is a unique opportunity to work at a start-up pace within a big company.

We are looking for an entrepreneurial mind-set, and a deep passion to take a problem, conduct research, and come up with a solution with a fast turnaround time.

The Emerging Accelerators Team in LSIP has openings for Research Associate interns who are pursuing a PhD degree with a background in electrical engineering, computer engineering, applied physics, or related fields. The researcher will investigate high-performance accelerators which combine CMOS and emerging ReRAM device technologies (or memristors) for computing applications including machine learning, neuromorphic computing, network security, finite automata, and other novel computational models.

The work can span a range of activities including the design of prototype systems and/or integrated circuits; invention of new architectures, circuits, and/or devices to take advantage of physical hardware systems for acceleration of target computations; the operation of existing hardware platforms; and performance evaluations with competing systems. You will have an opportunity to work with leading researchers who are subject matter experts across these technical areas and will mentor and guide you in your research.

We expect all our researchers (including interns) 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.

Education and Experience

* Pursuing a PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. electrical engineering, computer science, machine learning, applied physics, mathematics, statistics, etc.).

* Track record of world-class innovative contributions and ideas in AI/ML and/or related areas.

* Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer.

Relevant Technical

Skills:

* Experience with in-memory computing accelerators.

* Experience with micro architecture design for custom accelerators.

* Experience in deep learning research, algorithms, and data structures.

* Experience in design and test of custom integrated circuit IP for AI/ML applications.

* Experience with emerging analog memory devices for computing applications such as memristor, ReRAM, PCM, and others.

* Experience in system software, GPU acceleration, DL model execution and performance…