HPC & AI Application Performance Engineer
Hewlett Packard Enterprise · Winnersh, United Kingdom · 1d ago
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:
HPC & AI Application Performance Engineer
Location: UK
Type: permanent- full time
Help Shape the Future of High Performance Computing and Artificial Intelligence
At Hewlett Packard Enterprise, we are at the forefront of delivering High Performance Computing (HPC) and Artificial Intelligence (AI) solutions that power some of the world's most advanced research, innovation, and business outcomes.
Our team of highly skilled professionals supports customers across EMEA and LATAM, providing expertise in HPC and AI infrastructure, application performance, benchmarking, optimisation, and advanced technical support.
We are looking for an experienced HPC & AI Application Performance Engineer to join our distributed team and help customers maximise the performance, scalability, and impact of their HPC and AI environments.
The Opportunity
This is an exciting opportunity to work alongside leading researchers, software engineers, technology partners, and some of the most innovative organisations in the world.
You will play a key role in analysing and optimising complex HPC and AI applications, solving challenging technical problems, and helping customers unlock greater value from their technology investments.
Working across a diverse range of industries and research environments, you will contribute to cutting-edge projects that are shaping the future of scientific discovery, engineering, and artificial intelligence.
What You'll Be Doing
As an HPC & AI Application Performance Engineer, you will:
Provide advanced technical expertise and support to major HPE HPC and AI customer environments across EMEA and LATAM.
Work both on-site with UK customers and remotely with organisations across the wider region.
Analyse customer applications and workloads to identify opportunities for performance improvement, optimisation, and scalability.
Investigate complex software and infrastructure issues, acting as a trusted technical link between customer support teams and HPE R&D.
Support strategic business opportunities by providing technical expertise for large-scale HPC and AI bids and tenders.
Deliver technical workshops, training sessions, and presentations for customers and colleagues.
Share knowledge, best practices, and innovative ideas across the team and wider HPC and AI community.
Contribute to the development of tools, methodologies, and research initiatives that improve customer productivity and service delivery.
What We're Looking For
We're seeking an individual with a strong technical background, excellent problem-solving abilities, and a passion for helping customers succeed.
Essential Requirements
Bachelor's degree (or equivalent experience) in Science, Technology, Engineering, Mathematics, or a related field.
UK citizenship with the ability to obtain required security clearances for specific UK customer environments.
Strong understanding of HPC and AI architectures, software environments, and performance analysis techniques.
Experience troubleshooting complex technical issues and working collaboratively with engineering and R&D teams.
Programming experience in C, C++, or Fortran, alongside strong Python skills.
Experience with GPU programming technologies such as CUDA, OpenACC, or OpenMP Offload.
Knowledge of parallel programming frameworks including MPI and OpenMP.
Familiarity with build systems, scripting, and batch processing environments.
Experience using performance profiling and optimisation tools.
Strong communication skills with the ability to explain complex technical concepts to a variety of audiences.
Fluent written and spoken English.
Desirable Experience
Master's degree or PhD in a relevant scientific, engineering, or technical discipline.
Experience in application domains such as:
Weather and climate modelling
Computational Fluid Dynamics (CFD)
Artificial Intelligence and Machine Learning
Data Science
Knowledge of container technologies, system software, and monitoring solutions.
What Success Looks Like
The successful candidate will:
Become a trusted technical advisor to customers and colleagues.
Help customers achieve measurable improvements in application performance and scalability.
Build strong partnerships with customers, engineering teams, and research communities.
Contribute to strategic HPC and AI projects across multiple industries.
Drive innovation by developing new tools, methodologies, and approaches to complex challenges.
Continuously learn and adapt to emerging technologies and computing paradigms.
Why Join HPE?
At HPE, you'll have the opportunity to:
Work with some of the world's leading HPC and AI experts.
Collaborate with research institutions, technology partners, and innovative customers.
Contribute to cutting-edge projects that advance scientific research and technological innovation.
Influence future products and solutions through direct engagement with HPE engineering and development teams.
Access ongoing learning, career development, and growth opportunities.
Be part of a collaborative and supportive team that values innovation, curiosity, and customer success.
If you're passionate about solving complex technical challenges and want to make a direct impact on some of the world's most advanced computing environments, we'd love to hear from you.
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
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:
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TCP_05HPE 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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