Senior Fullstack Software Engineer, Autodesk

Senior Full Stack Software Engineer (AI Research & Development)

Company: Research & Foundation Model Development Team

Location: London, United Kingdom (Hybrid)

About the Role

We are seeking a highly skilled Senior Full Stack Software Engineer to join a dynamic team at the forefront of research and foundation model development. Operating at the intersection of research scientists, ML engineers, and infrastructure teams, you will enable rapid experimentation, prototyping, and model deployment. This role thrives in high-ambiguity environments, requiring strong problem-solving skills, the ability to gather context (leveraging AI tools), and iterate quickly. You will contribute across the full stack, building systems that support model development, evaluation, and production integration, including work with 3D data.

Responsibilities

• Develop and maintain backend and frontend applications and services.
• Rapidly prototype solutions for research and experimentation workflows.
• Design, implement, and monitor CI/CD systems and deployment pipelines.
• Build tooling for benchmarking, evaluation, and post-training workflows.
• Work with 3D data (meshes/BREPs) and support 3D geometry processing and rendering systems.
• Develop and optimize data processing pipelines.
• Identify and resolve bugs and system issues promptly.
• Collaborate with research scientists, ML engineers, and infrastructure teams.
• Utilize modern AI/GenAI tools to accelerate development and gather context.
• Contribute to shared codebases, ensuring quality, scalability, and maintainability.
• Adapt to emerging technologies and evolving requirements.

Requirements

• Programming: Strong programming skills in Python (or similar).
• Full Stack: Experience developing full-stack applications (backend + frontend).
• AI/GenAI Tools: Experience using modern AI/GenAI tools in the development workflow.
• Cloud & Infrastructure: Familiarity with cloud infrastructure (e.g., AWS), Linux environments, and containerization (Docker).
• CI/CD: Experience with CI/CD tools and workflows.
• Data Pipelines: Experience building or working with data pipelines.
• Environment: Ability to work effectively in fast-paced, ambiguous environments and drive tasks to clarity.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Soft Skills: Strong problem-solving, communication, and collaboration skills.

Additional Qualifications (Nice to Have)

• Experience building prototypes in research or experimental settings.
• Familiarity with workflow/pipeline orchestration tools (e.g., Metaflow).
• Experience working with 3D data, CAD systems, or rendering techniques.
• Experience with frontend technologies (e.g., JavaScript, React).
• Understanding of software architecture and design patterns.
• Interest in machine learning or AI systems.