Position Overview 

Autodesk 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.

Responsibilities

Start 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