AI Infrastructure - Intern

SHI International Corp.Piscataway, NJ
1d$20Onsite

About The Position

The AI Infrastructure Intern position is part of SHI’s immersive Advanced Growth Technologies (AGT) Internship, designed to develop the next generation of technical talent for AI and Digital Transformation initiatives. This role offers hands-on experience within SHI’s AGT teams, providing exposure to enterprise-scale environments and modern AI-driven platforms. Interns will focus on the foundational systems and architectures that enable AI solutions at scale, learning how AI workloads are deployed, managed, secured, and optimized.

Requirements

  • Currently enrolled as a junior or senior in good academic standing working towards a bachelor’s degree.
  • Must be available to participate for the full 12-week internship duration.
  • Must be able to work onsite as required by the internship program.
  • Must be authorized to work in the U.S.
  • Ability to assist with installation and configuration of operating systems and infrastructure components (compute, storage, networking) for enterprise environments. – Beginner
  • Ability to develop and troubleshoot basic automation scripts using PowerShell, Python, Bash, or similar scripting languages. – Beginner
  • Ability to monitor and report on infrastructure and system performance, escalating issues as needed. – Beginner
  • Ability to document technical procedures, reference architectures, and findings clearly and accurately. – Intermediate
  • Ability to collaborate with cross-functional teams (engineering, IT, security) to support project objectives and platform initiatives. – Intermediate
  • Ability to manage time and prioritize tasks in a fast-paced environment. – Intermediate
  • Familiarity with Linux, Windows, virtualization, containerization (e.g., Docker, Kubernetes), or networking concepts, with willingness to apply and expand this knowledge. – Beginner

Responsibilities

  • Participate in SHI’s AGT AI Platforms team, contributing to both lab and infrastructure initiatives.
  • Support internal and customer-facing innovation efforts, including use case demos and digital transformation projects.
  • Shadow and partner with engineering teams to understand end-to-end technology workflows and business processes.
  • Assist with the design, validation, and documentation of environments supporting machine learning, analytics, and automation workloads.
  • Explore infrastructure considerations for AI solutions, including scalability, reliability, security, and cost optimization.
  • Contribute to automation efforts that enhance infrastructure reliability and operational efficiency.
  • Evaluate emerging infrastructure technologies and platforms relevant to AI workloads.
  • Document technical work and present findings to both technical and non-technical stakeholders.
  • Provide regular status updates to mentors and program leadership.

Benefits

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
  • Continuous professional growth and leadership opportunities.
  • Health, wellness, and financial benefits to offer peace of mind to you and your family.
  • World-class facilities and the technology you need to thrive – in our offices or yours.
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