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Graphcore

Delivers IPU-powered AI cloud services

Knowledge Management and Training Project Intern

Technical WritingConfirmed live in the last 24 hours
Internship · Summer 2026Austin, TX, USAIn-person

About the Job

Requirements

  • Current enrollment in a bachelor's or master's degree program in communications, information management, business, learning and development, technical communication, or a related field.
  • Strong written communication skills and the ability to organize information clearly for different audiences.
  • Careful attention to detail and commitment to accurate, high-quality work.
  • Ability to follow established processes, incorporate feedback, and ask questions when requirements are unclear.
  • Organizational and time-management skills, including the ability to manage assigned tasks and deadlines.
  • Interest in technical, engineering, data center, or operational environments, with confidence using productivity, presentation, and collaboration tools.

Responsibilities

  • Support the Technical Services team in Austin by building clear documentation, training materials, and knowledge resources for data center engineering environments.
  • Work with engineers, operational teams, and subject matter experts to turn complex information into usable guidance.
  • Help colleagues understand current processes, onboard faster, and apply information with confidence.
  • Own defined project tasks with guidance, feedback, and support from experienced team members.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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