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Veeda AI

High-fidelity simulated environments for Physical AI

Software Engineering Intern

Full-Stack EngineeringConfirmed live in the last 24 hours
InternshipToronto, ON, CanadaNo salary listed

About the Job

Requirements

  • A Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field, or currently working toward one.
  • Strong object-oriented programming language skills and understanding.
  • Familiarity with web application development.
  • Ability to use AI as a productivity tool.

Responsibilities

  • Develop data ETL, data lake, and other data tooling that processes hundreds of terabytes of data.
  • Develop user-friendly frontend and backend systems for data visualization to increase efficiency for the data team and AI researchers.
  • Work in the same repositories, on the same clusters, and against the same data as the rest of the technical staff, rather than in a parallel sandbox environment.
  • Ship an artifact the team continues using, such as software or a tool, and write up findings and recommendations for what to try next.

Desired Qualifications

  • Experience building or maintaining production-grade applications.
  • Experience with AWS, GCP, or another popular cloud platform.
  • Familiarity with CI/CD pipelines.
  • Self-directed projects or competitive programming results demonstrating quick learning.
  • Ability to work hybrid from Toronto for the duration of the internship.

About the Company

Veeda AI

High-fidelity simulated environments for Physical AI

Veeda AI builds high-fidelity, scalable simulated environments powered by world models for Physical AI and robotics. It creates an internal multimodal simulation of the real world that embodied agents can learn from through safe virtual interaction, avoiding real-world risks. The company differentiates itself with an Nvidia-inspired research lineage and a focus on large, general-purpose world models plus a scalable AI simulation layer that supports the entire Physical AI ecosystem. Its goal is to remove learning and deployment bottlenecks to accelerate progress in AI, robotics, and embodied agents.

Company size
1-10
Company stage
Seed
Total funding
$90M
Headquarters
Toronto, Canada
Founded
2026

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