Senior Software Engineer

Autodesk is working to make design and manufacturing data more accessible and useful across products, workflows, and applications.

The Heimdall team develops SDKs and reusable software components that enable Autodesk products and developers to work with that data.

We are looking for a Senior Software Engineer who enjoys building high-quality SDKs and developer-facing APIs, working across managed and native code, and contributing to technical design decisions.

You will work extensively in both modern C#/.NET and modern C++ and contribute across the lifecycle of our SDKs: architecture, API design, implementation, automated testing, packaging, CI/CD, release, and ongoing evolution.

Engineers on the team are expected to work comfortably across both languages.

Responsibilities

• Design, implement, test, document, and maintain production-quality SDKs and reusable software components
• Develop across modern C#/.NET and modern C++, including communication and interoperability between managed C# and native C++ components
• Participate actively in the architecture and design of developer-facing APIs, contributing experience and perspective to technical decisions across the team
• Design APIs that are intuitive, maintainable, and capable of evolving over time while minimizing breaking changes for consumers
• Consider API lifecycle concerns including compatibility, versioning, deprecation, and migration strategies
• Collaborate with Autodesk product and platform teams that integrate and depend on the team's SDKs
• Contribute to technical discussions with partner teams and represent the team's designs, decisions, and work in broader engineering forums when appropriate
• Develop comprehensive automated unit tests and contribute to broader integration, compatibility, consumer, and performance testing strategies
• Own software through its complete delivery lifecycle, including build, packaging, CI/CD, artifact publishing, and release
• Create and maintain NuGet packages and other software artifacts, including package versioning, signing, publishing, and dependency management
• Reason about complex dependency graphs and compatibility issues across reusable managed and native components.
• Contribute to and maintain automated CI/CD pipelines used to build, test, validate, package, and deliver the team's software.
• Use modern AI-assisted development tools as part of a disciplined engineering workflow, applying appropriate validation and engineering judgment to generated code and solutions.
• Independently investigate unfamiliar technologies and technical problems, develop expertise, and share knowledge with the team.
• Contribute to the growth of other engineers through technical collaboration and, as familiarity with the team and technology grows, informal mentoring.

Minimum Qualifications

• Strong demonstrated software engineering skills and experience developing production-quality software
• Strong experience developing applications, libraries, or SDKs with modern C#/.NET and modern C++
• Experience working across C# and C++ boundaries or with comparable managed/native interoperability
• Ability to contribute effectively in both C# and C++, with demonstrated willingness to deepen expertise where needed
• Experience designing and implementing SDKs, libraries, or developer-facing APIs
• Strong understanding of API design principles and developer experience
• Experience evolving APIs while considering backward compatibility, versioning, and the impact of changes on downstream consumers
• Strong experience with automated unit testing and designing software for testability
• Experience with software build, packaging, dependency management, and continuous integration practices
• Experience working with source control and collaborative software development workflows
• Strong technical communication skills and the ability to discuss, explain, challenge, and refine architecture and implementation approaches with other engineers
• Ability to work independently across unfamiliar areas of a technology stack and a demonstrated willingness to develop new technical expertise
• Practical experience using modern AI-assisted software development tools such as GitHub Copilot, Claude Code, Cursor, ChatGPT, or comparable technologies
• Demonstrated ability to use AI-assisted development responsibly, including validating generated code, managing context, maintaining software quality, and recognizing when generated solutions require additional investigation or should not be used

Preferred Qualifications

• Experience designing, implementing, or maintaining SDKs that are consumed by multiple products or development teams
• Experience with integration testing, compatibility testing, consumer/application testing, or performance testing
• Experience with CloudBees or similar CI/CD platforms
• Experience creating and maintaining NuGet packages
• Experience publishing software artifacts using Artifactory or similar artifact repositories
• Experience managing complex native and managed dependency graphs, package versioning, and dependency compatibility
• Familiarity with computational geometry, CAD, or related domains
• Understanding of common geometry representations and their tradeoffs, including B-Rep, mesh, and primitive geometry
• Experience developing cross-platform native or .NET software, particularly for Linux
• Experience with profiling, debugging, or optimizing performance across managed and native code
• Familiarity with cloud-based systems and services
• Experience with specification-driven or spec-driven software development practices
• Experience creating API documentation, examples, migration guidance, or other materials that improve developer experience