UNI

Intern, AI in Design & Manufacturing

AMER - Canada - Ontario - Toronto - University Ave · Intern · Internship

Sponsorship not specifiedDetected 13 days ago

PythonMATLABMachine LearningSystems EngineeringRoboticsCAMMechanical DesignResearch

About the role

As an Intern at Autodesk, you will be immersed in driving and owning projects that directly impact our customers, internal teams, or core products.
You will work with a cross-functional team within Autodesk Research, including members of the Simulation, Optimization and Systems, Industry Futures, and Engineering organizations.
As a member of the team, you will have access to state-of-the-art workshops and manufacturing expertise within the Autodesk Toronto Technology Centre.

Apply your knowledge of Manufacturing, Design, Systems Engineering and state-of-the-art AI tools to create proof-of-concepts, prototypes and demonstrations
Document research findings, prototypes, and lessons learned for future reference
Understanding of product design, manufacturing processes, and design-for-assembly principles

Currently pursuing a Master's degree program in Robotics, Mechanical, Mechatronics Engineering or an equivalent discipline with a graduation date no earlier than December 2026.
Proven track record of managing projects and challenges
Exposure to AI/ML concepts and active experience using AI tools for software development or prototyping
Experience with CAD/CAM, mechanical design and reverse engineering workflows
Proficiency in Python and experience with software development for prototyping

Prior experience from internships, extracurriculars, or other side projects
Experience working with cross-functional teams
Passion for Autodesk and/or desire to learn more about the domain
Doctoral degree program in Mechanical Engineering or an equivalent discipline
Experience operating advanced manufacturing equipment (i.e. CNC mill, 3D-scanner, CMM, 3D printers)
Experience designing assemblies and product development processes
Knowledge of Systems Engineering, Model Based Systems Engineering or quantitative trade-off methods (Multi-Attribute Utility Theory, Pareto analysis)
Experience using Modelica, MATLAB, or similar tools for simulation and analysis

Together, the team explores the future of product assembly and design, bridging research, advanced engineering, and real-world, design to manufacturing workflows for Autodesk's customers.
https://www.autodesk.com/company/global-belonging

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