Principal Research & Design Engineer

Autodesk Autodesk · Enterprise · Boston, MA +1

Lead applied research at the intersection of AI, advanced fabrication, and real-world workshop operations. Identify operational challenges, develop AI-enabled systems to address them, and validate through hands-on experimentation. Focus on improving operations of advanced design-and-make environments using AI, including machine utilization, workflow planning, safety, and data-informed decision-making. Develop and evaluate AI/ML approaches like generative AI, computer vision, optimization, and edge AI. Work with data from machines, sensors, and operational systems. Build robust prototypes for real-world deployment.

What you'd actually do

  1. Lead applied research projects focused on using AI to improve workshop operations, fabrication workflows, and design-to-make systems
  2. Identify high-impact operational problems across the Technology Center, including machine scheduling, utilization, training, maintenance, safety, documentation, and project execution
  3. Design, prototype, and validate AI-enabled tools, workflows, dashboards, agents, data pipelines, and decision-support systems for physical workshop environments
  4. Work with data from machines, sensors, job queues, CAM workflows, maintenance logs, user activity, project documentation, and other operational systems
  5. Develop and evaluate AI and machine learning approaches, including generative AI, computer vision, optimization, predictive analytics, natural language interfaces, and edge AI where appropriate

Skills

Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Robotics, Data Science, Manufacturing, Architecture, Industrial Design, Operations Research, or a related technical field, or equivalent professional experience
  • Significant professional experience applying AI, machine learning, data science, automation, or computational systems to practical, real-world problems
  • Strong programming skills and experience working with data pipelines, APIs, databases, machine learning frameworks, or cloud-based AI services
  • Experience designing experiments, building prototypes, and evaluating technical systems in ambiguous or emerging problem spaces
  • Comfort working with physical systems, hardware, sensors, machines, or workshop/lab environments
  • Ability to translate complex operational challenges into research questions, technical requirements, and implemented prototypes
  • Strong written and verbal communication skills, with the ability to explain technical work to researchers, engineers, workshop staff, leadership, and non-technical collaborators
  • Willingness to work on-site in a hands-on Technology Center environment

Nice to have

  • Hands-on experience using, supporting, or programming CNC equipment, including CNC mills, routers, lathes, waterjets, or related subtractive manufacturing tools
  • Familiarity with CAD/CAM workflows, manufacturing software, machine setup, tooling, feeds and speeds, workholding, or fabrication planning
  • Experience with Autodesk products such as Fusion, Inventor, AutoCAD, Revit, Forma, or related design and manufacturing tools
  • Experience with robotics, additive manufacturing, industrial automation, machine monitoring, PLCs, IoT systems, or sensor-based instrumentation
  • Experience with computer vision, predict

What the JD emphasized

  • hands-on experimentation
  • hands-on research role
  • hands-on experimentation
  • hands-on Technology Center environment
  • hands-on experience

Other signals

  • applied research
  • AI-enabled systems
  • physical workshop environments
  • design, prototype, and validate AI-enabled tools, workflows, dashboards, agents, data pipelines, and decision-support systems