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Intern, Model Based Systems Engineering at Autodesk in Novi, MI
InternshipHybridNovi, MI$48k–$96k/yr
Skills
model based systems engineeringsystems engineeringmechanical engineering principlesassembly designkinematic analysispythonsoftware developmentai/ml conceptsai toolscad/camreverse engineeringproduct designmanufacturing processesdesign-for-assembly principlessysmlquantitative trade-off methodsmulti-attribute utility theorypareto analysismodelicamatlabsystems analysisproject management
Job Description
Summary: Autodesk is a company that helps innovators turn their ideas into reality through their software. As an Intern at Autodesk, you will work with cross-functional teams to investigate and prototype a model-based systems engineering approach for small-scale mechanical assemblies, gaining hands-on experience in project management and collaboration.
Responsibilities:
- Having a dedicated mentor who will help you navigate through Autodesk from Day 1 – all while showing you what it means to be an Autodesker!
- Managing your project end-to-end, including research, project planning, implementation, and demonstration
- Partnering with various cross-functional teams to solve critical problems across the Autodesk organization
- Combine your knowledge of Model Based Systems Engineering and state-of-the-art AI tools to create proof-of-concept prototypes and demonstrations
- Managing 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
- Integration of your output into broader team initiatives
- Acting as an MBSE reference for the team and providing guidance with respect to the products being studied
- Document research findings, prototypes, and lessons learned for future reference
Required Qualifications:
- Master's degree program in Systems Engineering or Model Based Systems Engineering (Must be currently enrolled in a full-time, degree seeking program)
- Proven track record with 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
- Systems Engineering & MBSE
- Familiarity with SysML
- Understanding of quantitative trade-off methods (Multi-Attribute Utility Theory, Pareto analysis)
- Experience using Modelica, MATLAB, or similar tools for systems analysis
- Practical experience applying model-based systems engineering principles to product design
Preferred Qualifications:
- 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 Systems Engineering or Model Based Systems Engineering
- Experience operating advanced manufacturing equipment (i.e. CNC mill, 3D-scanner, CMM, 3d printers)
- Experience designing assemblies and product development processes
- Well versed in implementing MBSE frameworks and system architectures
Required Skills: Model Based Systems Engineering, Systems Engineering, Mechanical Engineering Principles, Assembly Design, Kinematic Analysis, Python, Software Development, AI/ML Concepts, AI Tools, CAD/CAM, Reverse Engineering, Product Design, Manufacturing Processes, Design-for-Assembly Principles, SysML, Quantitative Trade-off Methods, Multi-Attribute Utility Theory, Pareto Analysis, Modelica, MATLAB, Systems Analysis, Project Management
Benefits: Paid, Meaningful projects, Mentored by industry leaders, Participate in tech talks and other activities designed to support your personal and professional development, Flexible Workplace approach
Benefits
Paid
Meaningful projects
Mentored by industry leaders
Participate in tech talks and other activities designed to support your personal and professional development
Flexible Workplace approach