Hewlett Packard Enterprise (HPE) is looking to enhance the business case for its products and services, deliver world-class reporting, and drive leadership through its sustainability strategy, specifically focusing on AI Efficiency. The AI Efficiency Intern will support global customer engagements, strategic customer partnerships, and AI Efficiency thought-leadership activities to achieve these goals.
Requirements
- College junior, senior, or masters’ student pursuing computer science, computer engineering, data engineering, software engineering, or technology efficiency
- Required skills: Microsoft Office
- Preferred skills: Public speaking, business acumen and sales strategies, strong communication
Responsibilities
- Perform research on various aspects of AI efficiency, with particular focus on data and software efficiency attributes
- Collaborate with the Living Progress team to recommend and implement changes to HPE’s technical point of view on AI efficiency.
- Support engagements with customers, governments, stakeholders and investors to showcase HPE’s leadership in the topics of AI/IT efficiency and sustainability
- Align customer and stakeholder insights to cross-functional HPE organizations that manage and implement aspects of topic areas
- Project management including developing a project timeline and monitoring execution against that timeline
Other
- This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
- The AI Efficiency Intern will work on HPE’s Corporate Affairs Living Progress team full-time for 12 weeks.
- The ideal candidate for this position will have a combination of technical, analytic, project and time management, as well as communication skills.
- This internship provides the opportunity to demonstrate leadership and exercise your internal and external communication skills.
- You will gain insight into the level of coordination required by large companies to align technical specifications, IT efficiency and sustainability attributes.
