Job Requisition ID #26WD98536
Position OverviewAutodesk Education Experiences (AEX) helps students, educators, and institutions access Autodesk tools, learning programs, and certifications. We are seeking a Software Development Engineer to build and deliver education-focused product experiences that support teaching and learning across Autodesk platforms.
Our team operates like a startup within Autodesk-small, fast-moving, and focused on delivering high-quality products. You'll work across the product stack, including backend services, integrations, automation, experimentation, and user-facing features. This role is ideal for engineers who enjoy taking ownership of customer-facing products from concept to launch and collaborating across disciplines to deliver meaningful user experiences.
ResponsibilitiesStart strong: you will write production-quality code, maintain and connect systems, and collaborate with cross-functional teammates to deliver education features for Autodesk products. You will help take ideas from early exploration through implementation, launch, and iteration. Typical responsibilities include:
- Implement backend services APIs, integrations, and product infrastructure that support education product features and platform experiences
- Move quickly from prototype to production, balancing speed, quality, maintainability, and user impact
- Integrate and productize ML/AI solutions in close collaboration with digital experience and platform engineering teams
- Build and maintain automation, plugins or SDKs for CAD platforms (e.g., Fusion, Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product delivery
- Work across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when needed
- Work with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker), and contribute to observability and reliability of services
- Write robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practices
- Collaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped features
- Document designs, APIs, runbooks and hand-off materials to product teams, and help onboard other engineers to the codebase
- Contribute to team culture by sharing knowledge, and promoting reproducible engineering practices
Minimum Qualifications - Bachelor's degree in Computer Science, Software Engineering or equivalent practical experience
- 3+ years of professional software engineering experience (or equivalent)
- Strong programming skills in Python and/or C++; experience writing production-quality code and libraries
- Understanding of Full-Stack development workflows/processes
- Able to utilise AI coding tools for increased velocity
- Experience with containerization (Docker) and version control (Git)
- Proven ability to integrate with CI/CD pipelines and maintain testable, maintainable code
- Ability to work cross-functionally with product managers, designers, researchers, ML engineers, platform engineers, or other technical teams to ship features
- Strong debugging, problem-solving skills and attention to detail
- Excellent communication skills and ability to collaborate in a distributed team
Preferred Qualifications - Experience working on CAD or 3D geometry systems (meshes, B-Reps, geometry kernels) or building plugins/automation for CAD platforms (e.g., Fusion, Revit, AutoCAD, Maya)
- Knowledge of OpenCascade or other geometry libraries
- Experience with cloud infrastructure (AWS) and deploying/monitoring services in the cloud
- Front-end familiarity (JavaScript, React/Next.js) for engineers who contribute to product-facing UI elements
- Understanding of software architecture and design patterns for scalable systems
- Experience translating prototypes, research ideas, or ambiguous product concepts into production-ready implementations
- Prior exposure to education environments and the workflow of translating prototypes to product-ready implementations
The Ideal Candidate - Product-minded: You care about the user, the problem, and whether the thing you build actually works in the real world
- Pragmatic and hands-on - able to move quickly from prototype to production-quality implementation, while maintaining good engineering judgment
- Curious: You are willing to learn new systems, tools, product areas, or technical domains to move the work forward
- Passionate about education, geometry and 3D data
- Collaborative and communicative - you explain technical trade-offs clearly and help drive consensus
