Senior Research Engineer

Autodesk Autodesk · Enterprise · London, United Kingdom

Autodesk Research is seeking a Senior Research Engineer to conduct applied research in agentic AI, generative AI, design systems, simulation, and creative engineering workflows for a new research platform exploring new ways to design. The role involves building prototypes, experimenting with agentic systems, and contributing to a research culture, with a focus on using AI as a practical and creative medium for design and making.

What you'd actually do

  1. Conduct applied research into agentic AI workflows for design, engineering, and making.
  2. Design, build, and test prototypes that explore new ways for people to create, evaluate, and refine designs using AI.
  3. Develop experimental workflows that combine generative AI, frontier models, agents, MCP-style toolchains, knowledge graphs, design tools, simulation, and engineering data.
  4. Explore how AI can support design thinking, creative exploration, ideation, iteration, decision-making, and the movement from concept to manufacturable or buildable outcomes.
  5. Use AI-assisted development, rapid prototyping, and “vibe coding” approaches to quickly test ideas, build demonstrations, and learn from experiments.

Skills

Required

  • 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.

Nice to have

  • 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 p

What the JD emphasized

  • agentic AI
  • generative AI
  • design systems
  • simulation
  • creative engineering workflows
  • frontier AI models
  • agents
  • knowledge graphs
  • design tools
  • agentic AI
  • generative AI
  • frontier models
  • agents
  • MCP-style toolchains
  • knowledge graphs
  • design tools
  • simulation
  • engineering data
  • AI-assisted development
  • rapid prototyping
  • vibe coding
  • agentic AI
  • generative AI
  • frontier models
  • agentic systems
  • generative AI
  • frontier models
  • AI-assisted software development
  • MCP
  • AI agents
  • multi-agent systems
  • knowledge graphs
  • retrieval-augmented generation
  • AI orchestration workflows
  • AI-enabled design
  • agentic systems
  • generative AI
  • frontier models
  • AI-assisted software development
  • design
  • engineering
  • simulation
  • product development
  • creative tools
  • digital making workflows
  • simulation
  • optimisation
  • model-based design
  • computational design
  • engineering analysis workflows

Other signals

  • applied research
  • agentic AI
  • generative AI
  • prototypes
  • frontier models