Intern, Model Based Systems Engineering

About the Role

As a 2026 Canada intern, you will be immersed in projects that directly impact customers, internal teams, or core products. Working alongside mentors and cross‑functional teams, you will investigate and prototype a model‑based systems engineering (MBSE) approach for the conceptual design of small‑scale mechanical assemblies, integrating MBSE with computational geometry, AI/ML methods, and CAD/CAM workflows to improve early design fidelity. • Manage your project end‑to‑end, including research, planning, implementation, and demonstration. • Partner with cross‑functional teams to solve critical problems across the organization. • Combine knowledge of MBSE and state‑of‑the‑art AI tools to create proof‑of‑concept prototypes and demonstrations. • Manage incomplete, ambiguous, or evolving requirements during early concept development. • Adapt MBSE processes traditionally used for large‑scale systems to smaller assemblies while maintaining design fidelity. • Integrate your output into broader team initiatives. • Act as an MBSE reference for the team, providing guidance on studied products. • Document research findings, prototypes, and lessons learned for future reference.

Key Responsibilities

• ▸project management
• ▸mbse integration
• ▸ai prototyping
• ▸requirements management
• ▸cad workflow
• ▸documentation

What You Bring

• Currently enrolled in a master’s program in Systems Engineering or Model‑Based Systems Engineering. • Proven track record of managing projects and challenges. • Working knowledge of mechanical engineering principles, including assembly design and kinematic analysis. • Proficiency in Python and experience with software development for prototyping. • Exposure to AI/ML concepts and experience using AI tools for software development or prototyping. • Experience with CAD/CAM and reverse engineering. • Understanding of product design, manufacturing processes, and design‑for‑assembly principles. • Familiarity with SysML and quantitative trade‑off methods (e.g., Multi‑Attribute Utility Theory, Pareto analysis). • Experience using Modelica, MATLAB, or similar tools for systems analysis. • Practical experience applying MBSE principles to product design. • Prior experience from internships, extracurricular projects, or side projects. • Experience working with cross‑functional teams. • Passion for Autodesk or desire to learn more about the domain. • Doctoral program in Systems Engineering or Model‑Based Systems Engineering (optional). • Experience operating advanced manufacturing equipment (CNC mill, 3D scanner, CMM, 3D printers). • Experience designing assemblies and product development processes. • Well‑versed in implementing MBSE frameworks and system architectures.

Requirements

• ▸masters
• ▸python
• ▸cad/cam
• ▸sysml
• ▸ai/ml
• ▸mbse

Benefits

You will work with a cross‑functional team within Autodesk Research, collaborating with members of the Simulation, Optimization and Systems (SOS), Industry Futures, and Engineering groups. The team explores the future of product design for Autodesk’s Design & Manufacturing customers, bridging research, advanced engineering, and real‑world workflows, and you will have access to state‑of‑the‑art workshops and manufacturing expertise at the Autodesk Toronto Technology Centre. The 16‑week program (May 4 – August 21) is fully paid, offers flexible workplace options (office, remote, or hybrid), and includes mentorship, tech talks, and activities designed to support personal and professional development. • Dedicated mentor from Day 1 to guide you through Autodesk.

Work Environment

Office Full-Time