Get on a robot. Ship something real.
Rolling applications across robotics, AI, hardware, and cloud. Hands-on work with ROZOR robots at our Hamilton lab, full-time or part-time, 2 to 12 months, on-site or select remote. We review every application against active project needs.
Project-based work on real ROZOR systems.
Internships are integrated into active engineering teams. You contribute to the same systems, tools, and workflows the rest of the team uses every day, not parallel "intern projects" that never ship.
We review applications throughout the year and contact candidates whose background fits an active opportunity.
Choose the duration that fits your program, short summer windows or longer co-op terms both work.
Full-time or part-time, depending on the role and your availability during the term.
Most tracks are based at our Ontario lab. Select ML and Cloud roles allow remote, including from Turkey and Qatar.
Eight areas of focus, one program.
Pick one or several when you apply, we match against current project needs. Remote eligibility is assessed case-by-case and is not guaranteed.
Robotics Software & Autonomy
Build the navigation, planning, and decision-making layers that make ROZOR robots autonomous in real buildings.
Computer Vision & AI Perception
Train and ship the perception models that let our robots see, segment, and understand their environments.
Machine Learning & Robotics AI
Push the AI models behind autonomy and decision-making, research, train, evaluate, deploy.
Robot Learning (RL / IL)
Teach robots through reinforcement and imitation learning, in real and simulated environments.
Embedded Systems
Work on firmware and low-level interfaces that connect software to motors, sensors, and actuators.
Robotics Hardware / Mechatronics
Design, prototype, and validate the mechanical and electrical systems that power ROZOR robots.
Cloud & Fleet Management
Build the cloud and backend systems that orchestrate ROZOR robots across deployments.
QA / Field Testing (Robotics)
Take robots from the lab to the field, design test plans, run trials, report what breaks.
Build, test, deploy. Repeat.
The exact mix depends on your track and current projects. Most interns touch several of these in a single term.
- Develop autonomy, perception, AI, or cloud-based systems
- Run experiments with ROZOR robots in lab and field environments
- Collect, analyze, and validate real operational data
- Test, debug, and evaluate performance under real conditions
- Build internal tooling, prototypes, or experimental features
- Collaborate across hardware, software, and cloud teams
- Contribute to documentation, test workflows, and deployment prep
Background matters. Curiosity matters more.
Prior industry experience is not required. Strong applicants tend to share a few common signals.
Currently enrolled in or recently graduated from
- Robotics
- Engineering
- Computer Science
- Artificial Intelligence
- Mechatronics
- Curious, motivated, and eager to learn
- Interested in applied, real-world robotics systems
- Comfortable in hands-on, iterative development environments
Helpful but not required
Anything below moves your application up the list, but missing items doesn't disqualify you. Show us what you've built.
- Experience with Python and / or C++
- Familiarity with ROS or ROS 2
- Coursework or projects in machine learning or computer vision
- Robotics clubs, competitions, or team projects
- Linux, simulation tools, CAD, or data analysis
Real mentorship, not check-the-box onboarding.
Direct mentorship
Paired with engineers and team leads who actively work on the systems you're contributing to.
Continuous feedback
Weekly check-ins, code reviews, and design discussions throughout the internship.
Production exposure
See how engineering decisions become real deployments, not just academic exercises.
Portfolio you can show
Leave with shipped code, validated experiments, or systems you can demo to anyone.
Future opportunities
Strong interns are sometimes considered for return internships or full-time roles, subject to business needs and performance, but participation in the program does not guarantee future employment.
Three things, one email.
Send the items on the right to info@rozor.ai. Due to application volume, only candidates selected for further consideration will be contacted.
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1
Resume
A current CV with relevant coursework, projects, and any prior experience.
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2
A short note
Tell us your areas of interest, preferred track(s), location, and availability. A few sentences is fine.
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3
Optional, what you've built
Portfolio, GitHub, papers, demo videos, anything that shows what you can do beyond your resume.