Software Engineer, Education

Autodesk · AMER - Canada - Ontario - Toronto - University Ave · AMER - Canada - Quebec - Montreal - 10 Rue Duke

onsitefull-time3-6 years

posted 14 Aug

Job Requisition ID # 26WD98536 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 U nderstanding 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 proto