HPE Labs - Technology Consultant (Intern)

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 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 Large-Scale Integrated Photonics (LSIP) Lab at HPE Labs has an immediate opening for a qualified research scientist with expertise in architecture and system design for emerging analog computing platforms such as ReRAM-based in-memory computing, (silicon) photonics, or quantum/quantum-inspired computing. This role will work closely with LSIP Lab colleagues in Milpitas, California, as well as with partners in Santa Barbara, Germany, and Canada. As the central (international) 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.

This role will be responsible for chip design, development of (micro-)architectures and overall system design, algorithm/hardware co-design, and the corresponding hardware optimization in emerging analog computing platforms based on memristive in-memory computing or similar. While most of our neuromorphic and quantum-inspired hardware research is focused on classical solutions, we would also like to explore the computational and energy-efficiency benefits of working at the quantum limit for, e.g., our photonics platforms. Furthermore, the role will work from a top-down perspective and identify key workloads for such hardware, identify computationally burdensome subroutines, map this to appropriate hardware accelerators, and perform cross-platform benchmarking on prototype hardware or emulators of such hardware.

This role will collaborate heavily with an international multi-disciplinary team of machine learning experts, software developers, photonic/(analog/mixed-signal) electronic device and circuit designers, and computer scientists.

In our team, all the software related to design, measurement, and data analysis is written in Python; hence, a strong background with Python is critical.

Qualifications and Education Requirements

• Master’s degree in Physics, Electrical Engineering, Photonics, Applied Mathematics, Computer Science, or equivalent.
• Groundbreaking research experience related to architectures in emerging neuromorphic computing, quantum computing, or equivalent emerging hardware platforms and corresponding algorithm/hardware co-design.
• Stellar publication record in top peer-reviewed journals in your field is a plus.
• Team player, self-motivated, and independent worker.
• Strong writing and verbal communication skills.

Preferred Skills

• Expertise in recent machine learning techniques, architecture, and micro-architecture design.
• Proficiency in circuit design tools such as Cadence Virtuoso, Spectre, with experience in schematic capture, layout tools, and post-layout simulations to design and simulate analog and mixed-signal circuits and systems.
• Familiarity and exposure to emerging NVMs (ReRAMs, FeFETs, etc.) and memory devices with a solid understanding of CMOS circuit modeling and trade-offs.
• Experience with lab testing, experimental measurements, and post-silicon validation.
• Experience with chip tape-outs is a plus.
• Expert in Python coding; specifically, PyTorch and TensorFlow expertise is relevant.
• Experience with programming GPUs and FPGAs is relevant.
• Experience with cycle-accurate hardware simulators such as SST is a plus.

Additional Skills:

Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity, Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building

What We Can Offer You:

Health & Wellbeing

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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.