Advanced Welding & Robotics Specialist developing robotic welding equipment and processes for Aecon’s nuclear infrastructure projects. Supporting R&D, fabrication, procurement, bids, and project execution.
About the role
- AI and robotics intern developing autonomous heavy-equipment simulations for CM Labs’ Vortex Studio. Prototyping machine-learning and robotics integrations for excavators, bulldozers, and wheel loaders.
Responsibilities
- Study and prototype AI or robotics approaches for controlling heavy equipment in realistic simulated environments
- Connect relevant machine learning, robotics, or embodied AI technologies to Vortex Studio
- Set up the experimental infrastructure required to evaluate these technologies
- Develop, adapt, or evaluate autonomous agents using demonstrations, reinforcement learning, foundation models, or other appropriate approaches
- Use demonstrations and feedback from experienced operators collected in CM Labs’ training simulators
- Build prototypes and quantitative evaluations to determine where simulation delivers the greatest value
- Clearly communicate experimental results, technical limitations, and recommendations for future product or research work
- Collaborate with software developers, simulation specialists, and subject-matter experts
- Contribute directly to the evolution of the Vortex Studio platform
Requirements
- Currently pursuing a master’s or doctoral degree in machine learning, robotics, computer science, or a related technical field
- Strong general software development skills, particularly in Python
- Ability to independently investigate technical problems and turn research ideas into working prototypes
- Interest in robotics, autonomous systems, embodied AI, or physics-based simulation
- Excellent communication and collaboration skills in English; French is an asset
- Experience with PyTorch or other machine learning frameworks
- Knowledge of VLMs, VLAs, or other foundation models for embodied agents
- Experience with imitation learning, reinforcement learning, or interactive learning from human feedback
- Familiarity with robotics tools or simulation platforms such as ROS, MuJoCo, Isaac Sim, or Gymnasium
- Experience with sim-to-real, robot learning, or the development of autonomous vehicles or equipment
- Familiarity with interactive simulation systems, including control loops, state management, sensors, and real-time environments
Benefits
- Paid internship
- 4- to 6-month term
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