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Job Details
Job Requisition ID #
Job Title: Senior Principal Research Engineer: AEC Geometric Data - Generative AI
Position Overview
Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, and Construction Cloud—and Forma, our new Industry Cloud.
As a Senior Principal Research Engineer, on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices.
Responsibilities
- Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources used in production ML systems.
- Mentor junior engineers and provide technical guidance on complex data engineering challenges.
- Work with large-scale, multi-modal datasets including text and geometric data, to design novel preprocessing, augmentation, analysis and content understanding.
- Transform unstructured AEC data into representations suitable for machine learning.
- Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs.
- Apply deduplication, normalization, and validation techniques to ensure high-quality data in production environments.
- Architect and optimize pipelines for scalability, reproducibility, and cloud deployment.
- Drive technical decision-making and influence engineering best practices across the team.
- Perform requirements analysis with senior stakeholders, ensuring technical solutions meet both immediate project goals and long-term research objectives.
- Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights.
- Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs.
- Participate in technical planning and roadmap development.
Minimum Qualifications
- MSc or PhD in Computer Science, Engineering, or a related field.
- 7-10+ years of experience in Machine Learning, Engineering, or related fields.
- Proven technical leadership, including leading complex projects and influencing technical direction in cross-functional teams.
- Strong experience in geometric data modeling and processing, including complex 2D/3D representations, computational geometry, and data architectures.
- Familiarity with machine learning concepts and frameworks and how data is represented for training.
- Proficiency in Python and strong software engineering practices.
- Ability to translate research ideas into production-grade systems.
- Excellent communication skills with ability to influence and guide technical decisions.
- Background in Architecture, Engineering, or Construction (AEC).
Preferred Qualifications
- Experience with AEC data formats and workflows (e.g., BIM, IFC, CAD, drawing sets).
- Experience with MEP data or systems (e.g., HVAC, electrical, plumbing).
- Experience delivering production ML or data systems.
- Strong foundations in core computer science (algorithms, systems, scalability).
- Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks such as PyTorch.
- Experience building scalable data or ML pipelines in cloud environments (e.g., AWS, SageMaker).
- Experience mentoring senior engineers or leading small technical teams.
- Track record of driving technical innovation and best practices.
Ideal Candidate
- You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques.
- You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills.
- You easily collaborate with others and are comfortable with minimal direction.
- You are constantly striving to learn new technologies and methodologies.
- You seek new ways to solve hard problems.
- You are unafraid to put your ideas out there and fail fast.
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.
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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