Hpe Labs – 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.

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 optimization.
• Self-motivated, proactive, with leadership qualities.
• Ability to work with ambiguity.
• Demonstrated effective communication and collaboration skills.
• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development {+ 5 more}

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.

#unitedstates#interns

Job:

Administration

Job Level:

N/A

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Hourly: $43.27 - $93.15The estimated job application period closure is May 26 2026; this timeline is provided for transparency and internal planning purposes.

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.