HPC & AI Graduate Internship — Sales & Presales
At a glance
- Location
- Korea
- Work type
- Onsite
- Category
- Business
Hewlett Packard Enterprise (HPE) Korea offers a six-week HPC & AI Graduate Internship — Sales & Presales in Seoul. The program is onsite with potential for a full-time Graduate position in Sales or Presales after successful completion. It provides structured learning, hands-on assignments, and exposure to Sales and Presales activities, with tracks in Sales or Presales after an initial foundation period.
What they are looking for
Location: Seoul, Seoul, Korea, Republic of, Korea, Republic of
HPC & AI Graduate Internship — Sales & Presales
This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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
한국휴렛팩커드에서 인턴십 프로그램을 진행합니다.
인턴십 프로그램은 약 6주간 진행 예정이며, 인턴십 이수자 중 우수 인턴은 정규직 채용 기회가 주어집니다.
(*적격자 여부에 따라 정규직 전환 결정 예정)
Hewlett Packard Enterprise (HPE) brings together technology and expertise to help customers turn their ambitions into business outcomes.
HPE Korea’s HPC & AI team works with enterprise customers, research institutions and partners to address demanding computing challenges. Our solutions span AI infrastructure, GPU servers, high-performance computing, networking, storage and supporting software and services.
About the Program
We are looking for curious, motivated graduates who want to build a career at the intersection of technology and business.
This six-week internship provides structured learning, practical assignments and exposure to the work of our Sales and Presales teams. You will learn how customer requirements are translated into infrastructure solutions and how technical and commercial teams collaborate to develop customer proposals.
During the first three weeks, all interns will participate in common foundational training and assignments. Following a midterm assessment, you will continue in either the Sales or Presales track, based on your interests, demonstrated strengths and role suitability. The remaining three weeks will focus on role-specific activities and an integrated project, concluding with an individual presentation and final assessment.
High-performing interns who meet the role requirements may be offered a full-time Graduate position in Sales or Presales. Participation in or completion of the internship does not guarantee a full-time offer.
What You’ll Do
Common Learning and Activities
Develop foundational knowledge of HPC & AI infrastructure, including compute, GPU servers, networking, storage and AI workloads.
Learn about customer needs, industry use cases and HPE’s approach to developing technology solutions.
Participate in expert-led sessions, self-directed learning, practical exercises and opportunities to observe experienced team members.
Collaborate on a simulated customer project while taking ownership of individual assignments and deliverables.
Present your findings, explain your reasoning and apply feedback to improve your work.
Sales Track
You will learn how to identify customer needs, assess business opportunities and communicate the value of technology solutions.
Research customers, market segments and industry developments to identify potential HPC & AI opportunities.
Support account and opportunity planning by organizing information on customer objectives, stakeholders, purchasing processes and priorities.
Assist with customer presentations, proposals and sales materials that connect solution capabilities to business needs.
Develop an understanding of pricing, competitive positioning, delivery considerations and commercial risks.
Work with Sales Specialists, Account Managers and Presales colleagues to understand how opportunities progress from initial engagement to proposal and execution.
Presales Track
You will learn how to analyze technical requirements and develop infrastructure proposals that address customer workloads and constraints.
Gather and organize workload, performance and infrastructure requirements.
Assist with high-level solution designs covering compute, GPUs, networking and storage.
Practice reviewing configurations and bills of materials (BOMs), identifying assumptions, dependencies and missing information.
Learn to interpret benchmark results and assess technical trade-offs, including performance, scalability, power and cooling.
Support technical presentations and proposal development, explaining how the proposed solution addresses customer requirements.
What You’ll Need
A Bachelor’s or Master’s degree completed within the past 12 months, or expected graduation. Applications from all academic disciplines are welcome.
English communication skills and an interest in working with regional and global colleagues.
Availability to participate throughout the six-week internship.
A strong interest in technology and a career in enterprise Sales or technical Presales.
Integrity, a respectful and professional attitude, and a strong sense of ownership and accountability.
Willingness to learn independently, ask thoughtful questions and respond constructively to feedback.
Clear communication, structured thinking and the ability to collaborate with people from different backgrounds.
For the Presales track, foundational technical understanding and the ability to analyze problems and explain your reasoning.
What We’d Prefer You Bring
Relevant coursework, projects or experience in computing, engineering, AI, data science, business or economics.
Familiarity with IT infrastructure, Python, Linux, cloud platforms or AI/ML concepts.
Evidence of initiative and teamwork through academic projects, internships, student organizations or other activities.
Prior professional experience in HPC & AI is not required. We value learning potential, sound judgment and a co