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AI Engineer World’s Fair 2026 -San Francisco

June 29 - July 2

Conference focused on AI applications in software engineering, robotics, autonomous systems, digital engineering, product development, and engineering workflows.

AI Engineer World’s Fair 2026

Who should attend?

  • Software engineers
  • Robotics engineers
  • AI developers
  • Technical leads
  • Engineering managers evaluating AI tools

Relevant topics

  • AI-assisted software development
  • Robotics
  • Autonomous systems
  • Agentic AI
  • Engineering workflows

Why an engineering professional might attend

  • Learn how AI is being integrated into engineering tools and development processes.
  • Meet vendors and startups building engineering-focused AI solutions.
  • Evaluate emerging technologies before purchasing.

Topics surrounding:

  • AI for CAD
  • AI for simulation
  • AI for robotics
  • AI for manufacturing
  • AI for digital twins
  • AI for software development
  • AI for semiconductor design

Details

Organizer

  • Microsoft

Venue

 

Why Engineering Events Matter When Evaluating Software

Trying engineering software is important — but seeing how real companies use these tools can be just as valuable.
Conferences, user groups, webinars, and technical workshops give engineers and software buyers a chance to see
software in action, ask better questions, and understand how each vendor supports real-world implementation.

Engineering events can help you:

  • See live demonstrations and technical workflows
  • Hear directly from customers using the software in production
  • Ask vendors about implementation, integration, licensing, and support
  • Learn about upcoming roadmap features and product direction
  • Compare competing software ecosystems and engineering approaches
  • Better understand whether a platform fits your industry, team, and workflow

EngineeringSoftwareTrials.com includes conferences, webinars, and industry events as a resource to help engineers,
managers, students, and software buyers make more informed software evaluation decisions.


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