Research Engineer

Job Requisition ID #

The Autodesk Research Team

Autodesk Research partners with academia, industry, and government to explore the future of design, engineering, and manufacturing. Our teams combine scientific rigor with creative exploration to transform ideas into technologies that empower people to make anything.

The Manufacturing Industry Futures team investigates how data, automation, artificial intelligence, and emerging technologies can improve the way physical products are designed ,engineered, manufactured, and inspected.

Position Overview

Autodesk Research is seeking a Research Engineer with a strong understanding of manufacturing processes and an interest in applying artificial intelligence, data-driven methods, and automation to real-world manufacturing challenges.

Based at the Autodesk Technology Center in Boston, you will design and run applied research experiments that connect digital models, manufacturing processes, physical equipment, production data, and intelligent software.

This role requires knowledge of how physical products are manufactured. You should understand the principles, constraints, inputs, outputs, and trade-offs of multiple manufacturing methods, such as machining, forming, casting, molding, joining, assembly, inspection, and additive manufacturing. Direct experience operating every type of equipment is not required, but you must be able to reason about manufacturing processes and work effectively with specialists who operate them.

You will also work with manufacturing and experimental data to investigate how AI can support areas such as process planning, parameter selection, simulation, quality, anomaly detection, workflow automation, and engineering decision-making.

You do not need to be a foundational AI researcher. However, you should have begun applying machine learning, generative AI, agentic systems, or other data-driven techniques to engineering, manufacturing, or physical systems.

This is not a pure software-development role, a robotics-only role, or a position focused exclusively on additive manufacturing. Robotics, software, and additive manufacturing may form part of the work, but successful candidates will bring broader knowledge of manufacturing processes and systems.

We support hybrid work, and you will work from our Boston, Massachusetts office.

What You Will Do

Design, build, and run applied research experiments focused on manufacturing

processes, systems, and technologies.

Develop experimental workflows connecting design, engineering, simulation,

manufacturing, inspection, sensing, automation, and production data.

Apply AI and data-driven methods to manufacturing problems such as process

planning, parameter optimization, anomaly detection, quality prediction, simulation

feedback, workflow automation, and decision support.

Collect, structure, analyze, and interpret data from manufacturing processes,

machines, sensors, simulations, inspections, and experiments.

Compare manufacturing methods and evaluate their process capabilities, limitations,

material considerations, quality requirements, and production trade-offs.

Build research prototypes that integrate software, hardware, data, and physical

manufacturing processes.

Plan and conduct experiments using appropriate research methods, controls,

measurements, and evaluation criteria.

Evaluate emerging technologies, including AI, digital twins, simulation, machine

perception, robotics, sensing, and industrial automation, within manufacturing

contexts.

Work with Technology Center specialists to conduct experiments involving processes

such as machining, metal fabrication, joining, molding, forming, additive

manufacturing, assembly, and inspection.

Collaborate with Autodesk researchers, engineers, Technology Center staff, industry

partners, and academic institutions.

Contribute to research projects from problem definition and literature review through

experimentation, prototyping, analysis, validation, and implementation.

Translate research findings into prototypes, demonstrations, intellectual property,

technical publications, tools, and scalable technologies.

Communicate findings clearly through documentation, presentations, demonstrations,

and technical discussions.

Minimum Qualifications

Bachelor’s or Master’s degree in Manufacturing Engineering, Mechanical

Engineering, Industrial Engineering, Materials Engineering, Computer Science,

Robotics, or a related technical field.

Relevant experience in applied research, industrial research and development,

manufacturing engineering, process engineering, or a related environment.

Demonstrated understanding of multiple manufacturing processes rather than

experience limited to a single technology or process.

Ability to explain how manufacturing processes work, including relevant materials,

process parameters, equipment, constraints, sources of variation, and quality

considerations.

Understanding of manufacturing workflows from design and process planning

through production, inspection, and feedback.

Experience planning, conducting, and evaluating technical experiments.

Experience working with manufacturing, machine, sensor, simulation, inspection,

production, or other experimental datasets.

Ability to analyze data using appropriate statistical, computational, or visualization

methods.

Initial practical experience applying machine learning, generative AI, agentic

workflows, or other AI-assisted methods to engineering, manufacturing, research, or

physical systems.

Ability to prototype integrated systems involving software, data, hardware, sensors,

equipment, or physical processes.

Programming experience sufficient to support data analysis, automation,

experimentation, and prototype development.

Strong technical communication and collaboration skills.

Ability to work across disciplines and engage effectively with researchers, software

engineers, manufacturing specialists, and industry partners.

Preferred Qualifications

PhD in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering,

Materials Engineering, Computer Science, Robotics, or a related field.

Applied knowledge of several manufacturing process families, such as:

oMachining and subtractive manufacturing

oForming and sheet-metal processes

oCasting and molding

oWelding, joining, and assembly

oAdditive manufacturing

oInspection, metrology, and quality control

oIndustrial automation and production systems

Experience applying machine learning or AI to manufacturing processes, production

systems, simulation, quality, inspection, maintenance, or process optimization.

Experience with AI-assisted engineering workflows, agentic systems, MCP or similar

toolchains, or AI-enabled automation.

Experience with physics-informed machine learning, surrogate modeling,

optimization, or AI for physical systems.

Familiarity with design of experiments, statistical process control, uncertainty,

process capability, or manufacturing-quality methods.

Experience integrating data from multiple sources, including machines, sensors,

simulations, inspection systems, and engineering software.

Familiarity with digital twins, model-based engineering, manufacturing simulation, or

process simulation.

Familiarity with industrial data standards and communication protocols such as

MQTT, MTConnect, OPC UA, or related industrial IoT technologies.

Experience developing research prototypes or intellectual property that has transferred

into an industrial or commercial setting.

Evidence of curiosity, research rigor, and the ability to work in areas where the

technical path is not yet defined.

Indicators of a Strong Fit

You may be a strong fit for this role if you:

Can compare several manufacturing methods and explain when and why each would

be used.

Understand that manufacturing data must be interpreted in the context of materials,

equipment, process parameters, tolerances, quality, and physical constraints.

Have conducted structured experiments and can explain how you formed a

hypothesis, selected measurements, analyzed results, and determined whether an

approach worked.

Have used AI or machine learning in a practical engineering or research project, even

if AI has not been the primary focus of your career.

Are comfortable moving between research questions, data analysis, software

prototypes, physical experiments, and technical discussions with manufacturing

specialists.

Are motivated by manufacturing problems rather than by robotics, software, or AI in

isolation.

Candidates whose experience is primarily in pure software development, building-

information modeling, architecture and construction, biomedical applications, robotics

without broader manufacturing-process knowledge, or a single additive-manufacturing

method may not have the manufacturing breadth required for this position.

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!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

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.

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