
location_on1251, Folsom Street, West SoMa, Civic Center, South of Market, San Francisco, California, 94103, United States
Autodesk Research is seeking a Research Engineer to help shape the future of manufacturing through hands-on experimentation at the intersection of manufacturing, engineering, artificial intelligence, automation, and digital transformation. Based at the Autodesk Technology Center in San Francisco, this role contributes to pioneering research into how AI-enabled workflows, digital twins, robotics, simulation, sensing, and advanced fabrication can redefine how things are made.
The San Francisco Technology Center is evolving into a world-class environment for experimentation—a space where ideas and technologies that may not yet exist in industry are explored, tested, and refined. The Research Engineer will work directly with researchers, technologists, industry partners, and Technology Center staff to design and build experimental systems that connect digital models, physical processes, real-world data, and intelligent automation.
This role is for someone who understands manufacturing and engineering applications deeply and is excited by the opportunity to apply AI in practical, impactful ways. You do not need to be a foundational AI researcher, but you should be curious about how AI can be used to improve manufacturing workflows, accelerate experimentation, support decision-making, and connect design, simulation, production, and feedback from the physical world.
If you are inspired by how people design and make anything, and you thrive in a hands-on environment where research meets industry, this role offers the opportunity to help build what comes next. You will collaborate closely with Boston Technology Center staff, Autodesk Research teams worldwide, and industry and academic partners to translate research insights into intellectual property, prototypes, tools, and scalable technologies.
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.
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.
We take pride in cultivating a culture of belonging where everyone can thrive.
Existing contractors or consultants with Autodesk should search for open jobs and apply internally rather than on this external site.
Skills: Artificial Intelligence, Automation, Digital Transformation, Digital Twins, Robotics, Simulation, Sensing, Additive Manufacturing, Metal Fabrication, Electronics.
Education: Bachelor's degree in Engineering, Computer Science, or related field required; Master's degree in Engineering, Computer Science, or related field required; PhD in Engineering, Computer Science, or related field preferred.
Work model: On-site
1251, Folsom Street, West SoMa, Civic Center, South of Market, San Francisco, California, 94103, United States
San Francisco, California
PhD in Engineering, Computer Science, Manufacturing, Robotics, or a related field. Experience with AI-assisted workflows, agentic systems, MCP or similar toolchains, or AI-enabled automation in engineering or manufacturing contexts. Experience with physics-informed AI, AI for physical systems, or machine learning applied to manufacturing, simulation, robotics, or process optimization. Familiarity with industrial data systems and communication protocols such as MQTT, MTConnect, OPC UA, or related IoT / industrial networking technologies. Experience with robotics, machine vision, additive manufacturing, CNC, industrial automation or smart factory systems. Experience developing intellectual property, prototypes, or technology that has transferred from research into industrial or commercial contexts.
Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.