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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Autodesk - **Location:** Novi, MI, United States - **Experience:** Starter - **Salary:** $82,000 - **Contract:** Internship / Graduate position - **Skills:** JavaScript (Programming Language), 3d Models, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Cloud Engineering, Software Quality, Code Review, Computer Engineering, Continuous Integration, Data Structures, Cursor, DevOps, Python (Programming Language), Machine Learning, Object-Oriented Software Development, OpenAI, Cloud Services, Tensorflow, Software Engineering, TypeScript, Web Services, Google Cloud, GitHub Copilot, Pytorch, LangChain, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Claude Code, Prompt Engineering, Model Validation, Llamaindex, AI Coding Agents, Agentic-AI, Git, Kubernetes, Information Technology, HuggingFace, Graphql, Claude, Virtual Agents, Restful APIs, Model Context Protocol, Industrial Software, Autodesk Autocad, GPT, Software Version Control, Serverless Computing, Docker, Programming Languages - **Published:** November 11, 2026 - **Apply:** https://autodesk.wd1.myworkdayjobs.com/Ext/job/Novi-MI-USA/Software-Engineer_26WD102129-1 ## About the Role * Bachelor of Science (BS) in Computer Science, Software Engineering, Computer Engineering, Mechanical Engineering, Electrical Engineering, or a related engineering discipline. * Hands-on experience with AI technologies and models, through coursework, research, internships, or personal projects. Examples include building applications with LLM APIs such as Claude or GPT, prompt engineering, or fine-tuning and evaluating models. * Working experience with AI-assisted development tools such as Cursor, Claude Desktop, Claude Code, or GitHub Copilot. * Proficiency in at least one modern programming language, such as Python, C++, C#, TypeScript, or JavaScript. * A solid grasp of software engineering fundamentals: data structures, algorithms, object-oriented design, and version control (Git). * Strong problem-solving skills and eagerness to learn new technologies. * Clear written and verbal communication, and the ability to work well in a team. Preferred Qualifications * Master's (MS) in Computer Science, Artificial Intelligence, Machine Learning, Mechanical Engineering, or a related field. * Experience with CAD/CAM/CAE software, ideally Autodesk Fusion, or exposure to the Fusion API. * Experience with cloud development on AWS, Azure, or Google Cloud Platform, including serverless functions, containers (Docker, Kubernetes), and managed services. * Experience building web services and RESTful or GraphQL APIs, including authentication, scalability, and performance. * Familiarity with AI and ML frameworks and tooling such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, or vector databases. * Experience with RAG pipelines, AI agents, the Model Context Protocol (MCP), or multi-model orchestration. * Experience with spec-driven development (SDD): writing clear specifications, requirements, and acceptance criteria up front and using them to guide implementation, including AI agent workflows that generate, test, and check code against a specification. * Understanding of responsible AI practices, including data privacy, model evaluation, bias mitigation, and safe deployment. * Familiarity with CI/CD pipelines, automated testing, and DevOps practices. * Background or interest in manufacturing, mechanical design, or the automotive industry. * Internships, research publications, open-source contributions, or a portfolio of AI projects. ## Description Autodesk is looking for an early-career Software Engineer who is excited about using artificial intelligence to change how products are designed and made. You'll join the Fusion engineering team in our Novi, Michigan office and help bring AI into Autodesk Fusion, our cloud-based platform for 3D CAD, CAM, CAE, and PCB design. This role suits a recent graduate, or someone early in their career, who has hands-on experience with modern AI models and AI-assisted development tools, a solid engineering foundation, and an interest in working where AI, cloud services, and design and manufacturing software meet. You'll work alongside experienced engineers, product managers, and designers to build features that millions of engineers, designers, and manufacturers use every day. What You'll Do * Design, build, test, and maintain features for the Autodesk Fusion platform, with a focus on AI-driven capabilities. * Integrate large language models and other AI models (for example, Anthropic Claude, OpenAI GPT, and open-source models) into Fusion workflows and services. * Use AI coding assistants every day to speed up development, while keeping code quality, security, and maintainability high through review and testing. * Prototype and evaluate AI solutions, including prompt design, retrieval-augmented generation (RAG), agent workflows, and model evaluation, and turn successful prototypes into production features. * Build and consume cloud-based web services and APIs (REST/GraphQL) that support Fusion's connected design and manufacturing experience. * Work with Fusion's APIs and extensibility framework (Python and C++) to automate design workflows and extend platform functionality. * Contribute to cloud infrastructure and deployment pipelines on platforms such as AWS or Azure. * Write clean, well-tested, well-documented code, and take part in code reviews, design discussions, and agile ceremonies. * Work with cross-functional teams in Novi and other Autodesk locations around the world. * Keep up with the fast-moving AI landscape and share what you learn with the team., This position starts as fully on-site at Autodesk's Novi, Michigan office, so the new team member can onboard well, work closely with the team, and get mentoring in person. Later on, the role may become eligible for a hybrid arrangement, in line with Autodesk's workplace and flexible work guidelines. Hybrid eligibility depends on business needs, team requirements, and manager approval, and it is not guaranteed.