Intern, Robotics Integration Applications

12 Minutes ago • All levels
Logistics

Job Description

We are building the next generation of adaptive industrial robotics applications that integrate perception, intelligent workflow building, and robust execution. This summer, you’ll contribute to building an agentic CAD/CAM digital to physical fabrication automation. This will be an exploration of the potential of using agents for user friendly custom automation implementations. This role is onsite in San Francisco. Work at the intersection of robotics, AI, and human-centered design, contributing to applications that move beyond demos into scalable, real-world deployments. Gain hands-on experience with perception-driven robotics, simulation environments, and adaptive workflows powered by LLMs and agentic AI. Collaborate with a cross-functional team of roboticists, AI researchers, and UX designers.
Must Have:
  • Help develop and implement the MCP architecture.
  • Extend existing digital and physical tools with appropriate APIs for the MCP architecture.
  • Scope and build a demonstration of an agentic created workflow for automated CAD to physical fabrication.
  • Current full-time MS or Ph.D. student in Robotics, Computer Science, or a related discipline.
  • Hands-on experience with robotics software development and established platforms.
  • Background in machine learning and its applications in robotics.
  • Strong foundation in software engineering, software design principles and architecture, and systems engineering.
  • Proficiency in both simulation-based development and real-world hardware implementation.
  • Excellent programming skills, with fluency in Python and C+.

Add these skills to join the top 1% applicants for this job

cross-functional
cad-computer-aided-design
game-texts
python
autodesk
machine-learning

Job Requisition ID #

25WD92298

Position Overview

We are building the next generation of adaptive industrial robotics applications that integrate perception, intelligent workflow building, and robust execution. This summer, you’ll contribute to building an agentic CAD/CAM digital to physical fabrication automation. Using MCP, and various digital design data processing tools and adaptive robotic machine tending and milling tools, an automation process/pipeline to go from a digital design (CAD and CAM) to the physical manifestation of the design (i.e. fabrication) will be created. This will be an exploration of the potential of using agents for user friendly custom automation implementations. This role is onsite in San Francisco.

About the Role

  • Work at the intersection of robotics, AI, and human-centered design, contributing to applications that move beyond demos into scalable, real-world deployments
  • Gain hands-on experience with perception-driven robotics, simulation environments, and adaptive workflows powered by LLMs and agentic AI
  • Collaborate with a cross-functional team of roboticists, AI researchers, and UX designers to push the boundaries of what’s possible in adaptive industrial robotics

Responsibilities

  • Help develop and implement the MCP architecture
  • Extend existing digital tools (e.g. data conversion, gcode generator/post processors, robotic grasp generators) and physical tools (e,g. adaptive robotic systems) with appropriate APIs for the MCP architecture
  • Scope and build out a demonstration of an agentic created workflow piecing tools to accomplish an automated CAD to physical fabrication of simple shapes

Minimum Qualifications

  • Current full-time MS or Ph.D. student in Robotics, Computer Science, or a related discipline at an accredited institution, with at least one academic term remaining after the internship
  • Hands-on experience with robotics software development and familiarity with established platforms
  • Background in machine learning and its applications in robotics
  • Strong interest in agents and MCP
  • Strong foundation in software engineering, software design principles and architecture, and systems engineering
  • Proficiency in both simulation-based development and real-world hardware implementation
  • Excellent programming skills, with fluency in Python and C+

Learn More

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, educational level, and geographic location, and can exceed this range.

For U.S.-based roles, we expect a starting annualized intern base salary to be between:

  • $47,840 and $95,680 (undergraduate students)
  • $72,800 and $118,500 (Masters/MBA students)
  • $118,560 and $162,240 (PhD students)

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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

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