At a Glance
- Tasks: Join us as a Research Engineer AI, working on cutting-edge AI software for supercomputers.
- Company: Hewlett Packard Enterprise is a global leader in edge-to-cloud technology, transforming how we live and work.
- Benefits: Enjoy hybrid work options, comprehensive health benefits, and personal development programmes.
- Why this job: Be part of a dynamic team driving innovation in AI and HPC, with opportunities for impactful research.
- Qualifications: A B.Sc. in STEM, experience with AI frameworks, and programming skills in C/C++ or Python required.
- Other info: Flexible work location, collaboration with top European research partners, and a culture that values diversity.
The predicted salary is between 28800 - 43200 £ per year.
Research Engineer AI
This 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 onfinding 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:
Research Engineer (AI)
Location: flexible in the UK, Bristol vicinity preferred.
Would you like to perform world-class research while also shaping products of the future? Are you interested in working with the most esteemed research partners across Europe?
Are you interested in questions like:
- How can we best enable high performance AI software stacks on supercomputers?
- How do we provide new environments/abstractions to support application developers to build, deploy, and run AI applications taking advantage of leading-edge hardware at scale?
- How do we manage modern data-intensive AI training and inference workloads in these environments?
The HPE HPC & AI EMEA Research Lab (ERL) is characterized by a unique blend of industrial research and tech development using Agile/Lean methodologies. Our Research Engineers are highly technical, team-thinking, communicative software/research engineers from a variety of backgrounds.
ERL is part of Hewlett Packard Labs, an international research organization with its headquarters and largest facility located in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), Hewlett Packard 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.
We are:
- A dedicated international research team integrated inside one of the most established global companies in HPC.
- A group with varied expertise in many aspects of Computing, AI, and related disciplines.
- A unique blend of the best of both worlds – quality research and development of real software.
- Engaged in a variety of HPC-centric research projects, including Horizon Europe and Destination Earth.
We are looking for someone with the flexibility to work on both short- and longer-term research projects, aligned with the UK AI infrastructure Isambard-AI, with the ability to work both independently and collaboratively to achieve project outcomes. You should be enthusiastic to learn new technologies and able to communicate what you have learned to others.
You will be integrated in the advanced collaboration center activities at the Isambard AI supercomputer, the premier UK AI supercomputing center, part of the UK AIRR, in Bristol, focusing on porting and optimization of workloads of key research centers like the AI safety institute and enabling better sustainability for the most-used applications, in particular regarding GPU usage and large-scale AI.
Further effort will go towards onboarding and supporting the scaling of novel domain-specific applications, convergence with AI and data-science, collaboration with the wider UK and European research community, and fostering collaboration with other large-scale HPE sites in EMEA.
You will also have the chance to spend time working with our team in other projects on topics suited to your interests and skillset, which may include subjects like data centric application coupling, secure computing, monitoring and operational data analytics, mathematical optimisation, containers, compilers, or application optimisation.
You should have:
- A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment.
- At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline.
- Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python.
- Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages, etc is highly desirable.
Your personal skills include:
- Strong team spirit but capable of independence.
- Ability to represent oneself and the team both inside and outside the company.
- A knack for finding fun in the complex and difficult.
You see great value in:
- Team-based technical developments.
- Communicating with a diverse set of people – the team, our partners, the rest of the company, customers, 3rd party developers.
- Combining technical knowledge with bigger-picture thinking.
You might also have:
- M.Sc. / Ph.D. in a Science, Technology, Engineering or Mathematical discipline.
- Experience in one or more domain specific software ecosystems (e.g. weather and climate, computational fluid dynamics, AI, data science).
- Experience working on EU projects.
- Experience working on HPC applications and/or Cloud applications.
- Experience working with research consortia.
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}
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.
#unitedkingdom#highperformancecompute, #technologyandsoftware
Job:
Engineering
Job Level:
TCP_04
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.
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Research Engineer AI employer: Hewlett Packard Enterprise Development LP
Contact Detail:
Hewlett Packard Enterprise Development LP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer AI
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and HPC technologies. Being well-versed in current trends will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the research community by attending relevant conferences or webinars. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Showcase your collaborative skills by participating in open-source projects or contributing to research papers. This experience can highlight your ability to work effectively in a team, which is crucial for this role.
✨Tip Number 4
Prepare to discuss specific projects where you've applied AI/ML frameworks like TensorFlow or PyTorch. Being able to articulate your hands-on experience will set you apart from other candidates.
We think you need these skills to ace Research Engineer AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Research Engineer AI role. Emphasise your knowledge of AI/ML frameworks like TensorFlow and PyTorch, as well as any parallel programming experience.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in science, technology, engineering, or mathematics makes you a suitable candidate, and mention specific projects or experiences that relate to the job description.
Showcase Your Research Experience: If you have previous research experience, particularly in AI or HPC applications, be sure to detail this in your application. Highlight any collaborative projects and your role in them, as teamwork is valued in this position.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or self-study related to AI, machine learning, or programming languages. This shows your commitment to staying updated in a rapidly evolving field, which is crucial for a research role.
How to prepare for a job interview at Hewlett Packard Enterprise Development LP
✨Showcase Your Technical Skills
Make sure to highlight your experience with AI/ML frameworks like TensorFlow and PyTorch. Be prepared to discuss specific projects where you've used these tools, as well as your knowledge of parallel programming models such as OpenMP or MPI.
✨Demonstrate Team Spirit
Hewlett Packard Enterprise values collaboration, so be ready to share examples of how you've worked effectively in teams. Discuss how you balance independence with teamwork, and how you communicate with diverse groups.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your analytical thinking skills and be ready to walk through your thought process when tackling complex problems, especially those related to AI applications.
✨Express Your Enthusiasm for Learning
Convey your eagerness to learn new technologies and adapt to changing environments. Share instances where you've taken the initiative to expand your skill set, particularly in areas relevant to the role, like data-centric applications or secure computing.