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Hewlett Packard Enterprise

HPE Labs - Research Engineer III

LocationDiegem, Flemish Brabant, Belgium
Work modehybrid
Typefull-time
DepartmentEngineering
Company size10,000+ people
First seen1w ago
Last seen1d ago
About the role
HPE Labs - Research Engineer IIIThis role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week 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:
Role and Responsibilities
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.
Qualifications and Education Requirements
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PhD degree in Photonics, Electrical Engineering, Physics, Computer Engineering, Computer Science, or a related field.
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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.
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Stellar peer-reviewed publication record in a relevant field is essential.
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Ability to contribute to cutting-edge research spanning theory, system design, modeling, experimental validation, and application development.
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Team player, self-motivated, and able to work independently in a multidisciplinary research environment.
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Strong writing, presentation, and verbal communication skills.
Preferred Skills
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Experience with algorithm-hardware co-design of emerging hardware accelerators based on analog electronics or photonics.
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Expertise in integrated photonics, photonic circuit and system design, photonic computing, or optical neural/spiking network concepts.
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Expert in recent machine learning techniques. More specifically, experience in neuromorphic computing, spiking neural networks, event-driven processing, or application-driven AI system design.
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Experience with quantum dot lasers, resonant tunneling diodes, optical and electronic memristors, or similar are relevant.
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Ability to translate advanced research concepts into impactful use cases and demonstrators.
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Strong Python programming skills; experience with machine learning frameworks such as PyTorch or TensorFlow is beneficial.
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Experience with experimental validation, modeling and simulation, algorithm-hardware co-design, or multidisciplinary research collaboration is considered a strong plus.
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Expert in the design of optical spiking neural networks or similar.
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Expert in recent machine learning techniques
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Expert in Python coding; specifically pytorch and tensorflow expertise is relevant.
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Experience with quantum dot lasers, resonant tunneling diodes, optical memristors, or similar are relevant.
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Experience with algorithm-hardware co-design.
What We Can Offer You:
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.
Let’s Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
Engineering
Job Level:
TCP_03
Legal
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of 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. Please click here: Equal Employment Opportunity.
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.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
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