AI & HPC Performance Engineering Intern

AI & HPC Performance Engineering Intern    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: Responsibilities: • Support senior team members on assigned technical projects as determined by the business unit. • Help identify and troubleshoot technical issues, providing support and suggesting solutions. • Assist with maintaining and updating hardware, software, and other technical systems. • Participate in team activities by attending team meetings, learn about project methodologies, and collaborate effectively with colleagues. • Actively engage in learning about new technologies and methodologies relevant to work. • Fulfill tasks and responsibilities assigned by a supervisor in a timely and efficient manner. • Participate in periodic reviews to share updates and incorporate feedback on assigned projects/initiatives. Education & Experience: • Currently pursuing a Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field. • Familiarity with programming languages or technical tools relevant to the role. Knowledge & Skills: • Linux system administration and command-line environments across multiple enterprise Linux distributions. • AI model training, inference, benchmarking, performance characterization, and optimization. • Strong analytical, troubleshooting, and root-cause analysis skills. • Basic programming or scripting knowledge (e.g., Python, Java, C++). • Strong interest in high-tech and a passion for learning. • Excellent communication and interpersonal skills. • Strong problem-solving and analytical skills.  • Time management skills and working with strict deadlines. • A collaborative, solution-focused mindset and overall sense of urgency.   Nice-to-have skills: • Basic knowledge on GPU accelerator technologies, memory hierarchies, and AI software stacks including CUDA, NCCL, and related ecosystem tools. • Basic knowledge on high performance computing (HPC), MPI and Linux clusters Impact/Scope: • University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries. 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, fi