Autodesk
Principal Research Engineer: AEC Geometric Data-Generative AI US or Canada
Autodesk, Portland, Oregon, United States, 97204
Overview
Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We are enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This role is for a Senior Research Engineer on the AEC Solutions team to help build foundation models and generative AI tools for the AEC industry, provide technical leadership, and mentor junior team members. Location:
We support hybrid work, and you work in the US or Canada. Responsibilities
Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources 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 support 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 at scale Architect and optimize pipelines for scalability, reproducibility, and cloud deployment Drive technical decisions and influence engineering best practices across the team Perform requirements analysis and document solutions clearly Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights Contribute to agile workflows and adapt to evolving project needs Participate in technical planning and roadmap development Minimum Qualifications
MSc in Computer Science, Engineering, or a related field 7-10+ years of experience in Machine Learning, Engineering, or related fields 2+ years of experience leading technical projects or mentoring junior engineers Demonstrated technical leadership in cross-functional environments Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/3D geometry Experience with computational geometry and geometric data methods Familiarity with ML concepts and how data is represented for training Proficiency in Python and strong software engineering practices Ability to translate theoretical concepts into practical solutions and prototypes Strong documentation skills for code, architectures, and experiments Background in Architecture, Engineering, or Construction (AEC) Excellent communication skills with the ability to influence technical decisions Preferred Qualifications
Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, drawing sets) Knowledge of the AEC industry and its data processing challenges Understanding of deep learning architectures (CNNs, Transformers) and frameworks like PyTorch or Lightning Understanding of core CS algorithms and scalability considerations Experience with AWS cloud services and SageMaker Studio for scalable data processing Experience managing or leading small technical teams Track record of driving technical innovation and best practices The Ideal Candidate
Passionate about solving problems for AEC customers using machine learning Comfortable working in ambiguous areas where learning and adaptability are key Collaborative and able to provide technical leadership with minimal direction Committed to continuous learning and helping others grow Proactive in solving hard problems and guiding others in problem-solving approaches Not afraid to share ideas, fail fast, and contribute to a culture of innovation About Autodesk
Autodesk is at the forefront of transforming the AEC industry by integrating AI and cloud-native capabilities into flagship products (AutoCAD, Revit, Construction Cloud) and Forma, our Industry Cloud. We foster a culture that guides how we work, connect with customers, and contribute to the world. Salary Transparency
Salary is part of Autodesk’s compensation package. For U.S.-based roles, starting base salary ranges between $146,900 and $237,600, with offers based on experience and location. The package may include bonuses, stock grants, and a comprehensive benefits package. Equal Employment Opportunity
Autodesk is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider applicants with criminal histories where allowed by law. Diversity & Belonging
We cultivate a culture of belonging where everyone can thrive. Learn more at Autodesk’s Diversity and Belonging page. Other
If you are an existing contractor or consultant with Autodesk, please search for open jobs and apply internally (not on this external site).
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Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We are enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This role is for a Senior Research Engineer on the AEC Solutions team to help build foundation models and generative AI tools for the AEC industry, provide technical leadership, and mentor junior team members. Location:
We support hybrid work, and you work in the US or Canada. Responsibilities
Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources 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 support 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 at scale Architect and optimize pipelines for scalability, reproducibility, and cloud deployment Drive technical decisions and influence engineering best practices across the team Perform requirements analysis and document solutions clearly Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights Contribute to agile workflows and adapt to evolving project needs Participate in technical planning and roadmap development Minimum Qualifications
MSc in Computer Science, Engineering, or a related field 7-10+ years of experience in Machine Learning, Engineering, or related fields 2+ years of experience leading technical projects or mentoring junior engineers Demonstrated technical leadership in cross-functional environments Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/3D geometry Experience with computational geometry and geometric data methods Familiarity with ML concepts and how data is represented for training Proficiency in Python and strong software engineering practices Ability to translate theoretical concepts into practical solutions and prototypes Strong documentation skills for code, architectures, and experiments Background in Architecture, Engineering, or Construction (AEC) Excellent communication skills with the ability to influence technical decisions Preferred Qualifications
Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, drawing sets) Knowledge of the AEC industry and its data processing challenges Understanding of deep learning architectures (CNNs, Transformers) and frameworks like PyTorch or Lightning Understanding of core CS algorithms and scalability considerations Experience with AWS cloud services and SageMaker Studio for scalable data processing Experience managing or leading small technical teams Track record of driving technical innovation and best practices The Ideal Candidate
Passionate about solving problems for AEC customers using machine learning Comfortable working in ambiguous areas where learning and adaptability are key Collaborative and able to provide technical leadership with minimal direction Committed to continuous learning and helping others grow Proactive in solving hard problems and guiding others in problem-solving approaches Not afraid to share ideas, fail fast, and contribute to a culture of innovation About Autodesk
Autodesk is at the forefront of transforming the AEC industry by integrating AI and cloud-native capabilities into flagship products (AutoCAD, Revit, Construction Cloud) and Forma, our Industry Cloud. We foster a culture that guides how we work, connect with customers, and contribute to the world. Salary Transparency
Salary is part of Autodesk’s compensation package. For U.S.-based roles, starting base salary ranges between $146,900 and $237,600, with offers based on experience and location. The package may include bonuses, stock grants, and a comprehensive benefits package. Equal Employment Opportunity
Autodesk is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider applicants with criminal histories where allowed by law. Diversity & Belonging
We cultivate a culture of belonging where everyone can thrive. Learn more at Autodesk’s Diversity and Belonging page. Other
If you are an existing contractor or consultant with Autodesk, please search for open jobs and apply internally (not on this external site).
#J-18808-Ljbffr