Position Overview
We are seeking a highly skilled Senior Full Stack Software Engineer to join our team supporting research and foundation model development. This role operates at the intersection of research scientists, ML engineers, and infrastructure teams, enabling rapid experimentation, prototyping, and model deployment.
You are comfortable working in a high-ambiguity environment where requirements are often not fully defined. Understanding problems, gathering context (including through modern AI tools), and iterating quickly are key aspects of the role. You will contribute across the stack, building systems that support model development, evaluation, and integration into production workflows.
This team operates in a hybrid working model from our offices in London.
Responsibilities
- Develop and maintain backend and frontend applications and services
- Rapidly prototype solutions to support research and experimentation workflows
- Design, implement, and monitor CI/CD systems and deployment pipelines
- Build tooling for benchmarking, evaluation, and post-training workflows (e.g., harnesses, environments)
- 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 in a timely manner
- Collaborate with research scientists, ML engineers, and infrastructure teams to enable AI/ML solutions
- Use modern AI/GenAI tools to accelerate development, gather context, and validate outputs
- Contribute to shared codebases, ensuring quality, scalability, and maintainability
- Stay current with emerging technologies and apply them pragmatically in a fast-moving environment
- Operate effectively in situations with evolving or unclear requirements
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Minimum Qualifications
- Strong programming skills in Python (or similar)
- Experience developing full stack applications (backend + frontend)
- Experience using modern AI/GenAI tools as part of the development workflow
- Familiarity with cloud infrastructure (e.g., AWS), Linux environments, and containerization (Docker)
- Experience with CI/CD tools and workflows
- Experience building or working with data pipelines
- Ability to work in fast-paced, ambiguous environments and drive tasks to clarity
- Bachelor's degree in computer science, Engineering, or equivalent experience
- Strong problem-solving, communication, and collaboration skills
Additional Qualifications
- 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
- Ability to work across multiple domains (systems, data, UI) as needed
- Interest in machine learning or AI systems
Preferred Skills
- Experience supporting or deploying experimental ML models (evaluation, iteration, or internal use)
- Strong experience with Ray (data, training, or serving use cases)
- Familiarity with DevOps practices and tools (e.g., Kubernetes, Terraform)
- Exposure to 3D modelling software and file formats (e.g., meshes, BREPs)
- Proficiency in a low-level programming language (e.g., C, C++, Rust)
- Experience with other cloud platforms (Azure, GCP)
