HPE Labs - Research Engineer III
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 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 Large-Scale Integrated Photonics (LSIP) Lab at Hewlett Packard Labs has an opening for a qualified Research Scientist to contribute to externally funded research projects in neuromorphic and photonic computing, with a primary focus on HPE Belgium’s EU projects developing optical spiking neural networks for applications such as radar processing, optical communication, high-energy physics and medical imaging.
This role will help develop next-generation photonic and hybrid photonic-electronic computing systems, with particular emphasis on neuromorphic computing, spiking neural networks, and application-driven research. Depending on the candidate's profile, the work may emphasize photonic hardware, integrated device and system concepts, optical spiking neural networks, or the design and application of neuromorphic and event-driven algorithms and architectures.
The successful candidate will identify and develop promising application areas for spiking and neuromorphic approaches, connect these applications to computational bottlenecks and system requirements, and contribute to proof-of-concept demonstrations, scientific publications, and collaborative project deliverables. The role requires close collaboration with a multidisciplinary team spanning photonics, analog and mixed-signal electronics, machine learning, software, and systems research.
In our team, software for design, experimentation, and data analysis is primarily written in Python, so a strong hands-on background in Python is highly valuable.
PhD degree in Photonics, Electrical Engineering, Physics, Computer Engineering, Computer Science, or a related field.
Strong background in one or more of the following areas: 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, and able to work independently in a multidisciplinary research environment.
Strong writing, presentation, and verbal communication 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.
Expert in recent machine learning techniques. More specifically, 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 are relevant.
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 is considered a strong plus.
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 are relevant.
Experience with algorithm-hardware co-design.
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.
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Job:
Engineering
Job Level:
TCP_03
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