
Architecture • Engineering • Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
10,000+ employees
Founded 1982
📱 Media
September 24

Architecture • Engineering • Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
10,000+ employees
Founded 1982
📱 Media
• Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development • Design efficient data processing workflows for large-scale design datasets and industry-specific file formats • Optimize distributed training systems and develop solutions for model parallelism, checkpointing, and efficient resource management • Analyze performance bottlenecks and provide solutions to scaling problems • Implement and maintain robust, testable, well-documented code • Collaborate with researchers and engineers on projects at the intersection of research and product • Present results to collaborators and leadership • Contribute to infrastructure that enables ML-powered product features for AEC (architecture, engineering, construction)
• BSc or MSc in Computer Science or related field, or equivalent industry experience • Experience with distributed systems for machine learning and deep learning at scale • Strong knowledge of ML infrastructure and model parallelism techniques • Experience with frameworks such as PyTorch, Lightning, Megatron, DeepSpeed, and FSDP • Proficiency in Python and strong software engineering practices • Experience with cloud services and architectures (AWS, Azure, etc.) • Familiarity with version control, CI/CD, and deployment pipelines • Excellent written documentation skills • Preferred: Experience with AEC data formats (BIM models, IFC files, CAD files, Drawing Sets) • Preferred: Knowledge of the AEC industry and its specific data processing challenges • Preferred: Experience scaling ML training and data pipelines for large datasets • Preferred: Experience with distributed data processing and ML infrastructure (Apache Spark, Ray, Docker, Kubernetes) • Preferred: Experience with performance optimization, monitoring, and efficiency in large-scale ML systems • Preferred: Experience with Autodesk or similar products (Revit, Sketchup, Forma) • Ability to work effectively on a global, remote-first team; self-starter and adaptable in ambiguous environments
• Competitive compensation package • Annual cash bonuses • Commissions for sales roles (for sales positions) • Stock grants • Comprehensive benefits package • Remote-friendly work / remote work options • Regular team offsites for collaboration
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