Position Overview
Autodesk Research is seeking a Senior Research Engineer to help shape the future of design and make through applied research in agentic AI, generative AI, design systems, simulation, and creative engineering workflows. This role focuses on building a new research platform that combines frontier AI models, agents, knowledge graphs, simulation, and design tools to enable people to imagine, explore, evaluate, and create in ways not possible today. It is an individual‑contributor role based in London, United Kingdom.
Responsibilities
* Conduct applied research into agentic AI workflows for design, engineering, and making.
* Design, build, and test prototypes exploring new ways to create, evaluate, and refine designs using AI.
* Develop experimental workflows that combine generative AI, frontier models, agents, toolchains, knowledge graphs, design tools, simulation, and engineering data.
* Explore how AI can support design thinking, creative exploration, ideation, iteration, decision‑making, and the transition from concept to manufacturable outcomes.
* Use AI‑assisted development, rapid prototyping, and “vibe coding” approaches to quickly test ideas, build demonstrations, and learn from experiments.
* Work with Autodesk products, prototype research tools, APIs, and emerging AI systems to create new design and make experiences.
* Apply engineering judgment and domain knowledge to ensure AI‑enabled workflows are useful, grounded, and relevant to real‑world design and industry contexts.
* Collaborate closely with Autodesk Research colleagues in a fast‑moving, multidisciplinary environment.
* Contribute to research projects from early concept through prototyping, experimentation, evaluation, and communication.
* Help translate research insights into prototypes, intellectual property, publications, demonstrations, and potential future platform capabilities.
* Share findings clearly through prototypes, technical documentation, presentations, demos, and research communication.
Minimum Qualifications
* Bachelor’s or Master’s degree in Engineering, Computer Science, Design Engineering, Mechanical Engineering, Industrial Design, Human‑Computer Interaction, or a related field.
* A few years of relevant industry, research, applied R&D, product innovation, or advanced prototyping experience.
* Experience using AI tools, agents, generative AI systems, or AI‑assisted workflows in creative, design, engineering, or technical contexts.
* Strong understanding of design thinking, creative processes, and how people move from ideas to concepts, prototypes, simulations, or engineered outcomes.
* Engineering domain knowledge such as mechanical engineering, product design, industrial design, simulation, manufacturing‑aware design, or related technical fields.
* Ability to build prototypes quickly using modern software tools, AI‑assisted coding, APIs, scripting, and experimental development workflows.
* Curiosity about agentic AI, frontier models, tool‑using AI systems, and new ways of interacting with design and engineering software.
* Strong communication and collaboration skills, with the ability to work across disciplines and explain emerging technical ideas clearly.
* Comfort working in a fast‑paced, ambiguous research environment where ideas are tested, challenged, refined, and rapidly prototyped.
* A hands‑on mindset and a track record of experimenting with emerging technologies.
Preferred Qualifications
* Deeper experience with AI‑enabled design, agentic systems, generative AI, frontier models, or AI‑assisted software development.
* Experience with MCP or similar tool‑use frameworks, AI agents, multi‑agent systems, knowledge graphs, retrieval‑augmented generation, or AI orchestration workflows.
* Experience applying AI to design, engineering, simulation, product development, creative tools, or digital making workflows.
* Familiarity with design and engineering software, including Autodesk products such as Fusion, Forma, Revit, Inventor, or related tools.
* Experience with simulation, optimisation, model‑based design, computational design, or engineering analysis workflows.
* Experience developing prototypes, research demos, publications, patents, or technologies that have influenced products or industry practice.
* Experience working in startup‑like, fast‑paced, experimental, or highly ambiguous technical environments.
* Curiosity for exploring uncharted territory and shaping the future of how people design and make things.
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