Intern, Model Based Systems Engineering

About the Role

The internship immerses you in projects that directly impact customers, internal teams, or core products, and you will collaborate with mentors and cross‑functional partners. Your primary focus will be investigating and prototyping a model‑based systems engineering (MBSE) approach for the conceptual design of small‑scale mechanical assemblies. This work will explore integrating MBSE with computational geometry, AI/ML methods, and CAD/CAM workflows to improve early‑design fidelity. You will manage the project from research and planning through implementation and demonstration, partnering with various teams to solve critical problems across Autodesk. The role requires adapting MBSE processes traditionally used for large‑scale systems to smaller assemblies while handling ambiguous or evolving requirements. You will act as an MBSE reference for the team, document findings, and integrate your output into broader initiatives. • Manage end‑to‑end project: research, planning, implementation, and demonstration. • Partner with cross‑functional teams to solve critical Autodesk problems. • Apply Model‑Based Systems Engineering (MBSE) and AI/ML tools to prototype small‑scale mechanical assemblies. • Adapt MBSE processes for early concept development with ambiguous requirements. • Serve as MBSE reference, document findings, and integrate outputs into broader initiatives.

Key Responsibilities

• ▸project management
• ▸mbse prototyping
• ▸ai/ml
• ▸cad/cam
• ▸computational geometry
• ▸documentation

What You Bring

You will work with a cross‑functional team within Autodesk Research, including members of the Simulation, Optimization and Systems (SOS), Industry Futures, and Engineering organizations. The team explores the future of product design for Autodesk’s Design & Manufacturing customers, bridging research, advanced engineering, and real‑world workflows. As a member you will have access to state‑of‑the‑art workshops and manufacturing expertise at the Autodesk Toronto Technology Centre. Candidates must be enrolled in a full‑time master’s program in Systems Engineering or Model‑Based Systems Engineering. Required skills include Python programming, mechanical engineering fundamentals such as assembly design and kinematic analysis, and experience with CAD/CAM, reverse engineering, and AI/ML tools. Familiarity with SysML, quantitative trade‑off methods (e.g., Multi‑Attribute Utility Theory, Pareto analysis), and modeling tools such as Modelica or MATLAB is also expected. Preferred experience includes prior internships, extracurricular projects, or other side‑projects, and a demonstrated ability to work on cross‑functional teams. A passion for Autodesk, doctoral studies in relevant fields, and hands‑on experience with advanced manufacturing equipment (CNC mill, 3‑D scanner, CMM, 3‑D printers) are advantageous. Experience designing assemblies, product development processes, and implementing MBSE frameworks is also valued. • Minimum qualifications: enrolled in a Master’s program in Systems Engineering/MBSE, Python proficiency, mechanical engineering knowledge, CAD/CAM and reverse engineering experience, AI/ML exposure, SysML familiarity, quantitative trade‑off methods, Modelica or MATLAB skills. • Preferred qualifications: prior internship or project experience, cross‑functional teamwork, passion for Autodesk, doctoral studies, operation of advanced manufacturing equipment, assembly design experience, MBSE framework implementation.

Requirements

• ▸master's
• ▸python
• ▸cad/cam
• ▸ai/ml
• ▸sysml
• ▸matlab

Benefits

The 2026 Canada internship runs for 16 weeks (May 4 – August 21) and is fully paid. Interns receive mentorship from industry leaders, participate in tech talks, and benefit from Autodesk’s Flexible Workplace approach, supporting office, remote, or hybrid preferences. The program is designed to support personal and professional development while contributing to meaningful projects. • Internship details: 16‑week paid program (May 4 – Aug 21 2026) with flexible workplace options, mentorship, tech talks, and professional development opportunities.

Work Environment

Office Full-Time