Job Overview
This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
Hewlett Packard Enterprise (HPE) is a 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.
Responsibilities
- Develop next‑generation photonic and hybrid photonic‑electronic computing systems.
- Identify and develop promising application areas for spiking and neuromorphic approaches, connect these applications to computational bottlenecks and system requirements.
- Contribute to proof‑of‑concept demonstrations, scientific publications, and collaborative project deliverables.
- Collaborate closely with a multidisciplinary team spanning photonics, analog and mixed‑signal electronics, machine learning, software, and systems research.
- Design and conduct experiments, model, simulate, and validate algorithms and architectures using Python and related tools.
Qualifications and Education Requirements
- PhD degree in Photonics, Electrical Engineering, Physics, Computer Engineering, Computer Science, or a related field.
- Strong background in integrated photonics, photonic systems, photonic computing, neuromorphic computing, spiking neural networks, or event‑driven computing.
- Stellar peer‑reviewed publication record in a relevant field is essential.
- Ability to contribute to cutting‑edge research spanning theory, system design, modeling, experimental validation, and application development.
- Team player, self‑motivated, able to work independently in a multidisciplinary research environment.
- Strong writing, presentation, and verbal communication skills.
Preferred Skills
- Experience with algorithm‑hardware co‑design of emerging hardware accelerators based on analog electronics or photonics.
- Expertise in integrated photonics, photonic circuit and system design, photonic computing, or optical neural/spiking network concepts.
- Experience in neuromorphic computing, spiking neural networks, event‑driven processing, or application‑driven AI system design.
- Experience with quantum dot lasers, resonant tunneling diodes, optical and electronic memristors, or similar.
- Ability to translate advanced research concepts into impactful use cases and demonstrators.
- Strong Python programming skills; experience with machine learning frameworks such as PyTorch or TensorFlow is beneficial.
- Experience with experimental validation, modeling and simulation, algorithm‑hardware co‑design, or multidisciplinary research collaboration.
- Expert in the design of optical spiking neural networks or similar.
- Expert in recent machine learning techniques.
- Expert in Python coding; specifically PyTorch and TensorFlow expertise is relevant.
- Experience with quantum dot lasers, resonant tunneling diodes, optical memristors, or similar.
- Experience with algorithm‑hardware co‑design.
Benefits
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 invest in your career because the better you are, the better we all are.
Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness.
Equal Employment Opportunity Statement
HPE is an Equal Employment Opportunity/Veteran/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on 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.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.