
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
October 10

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
• Develop and orchestrate multi-agent AI systems for automated code review, test generation, continuous integration, and end-to-end development workflow optimization using frameworks like LangGraph and AutoGen • Design and implement agentic workflows that coordinate multiple AI agents for complex development tasks, ensuring seamless integration with existing developer tools • Work with extensive code datasets, developer interaction data, and multi-modal development artifacts (code, documentation, UI) from integrated productivity tools • Build comprehensive evaluation frameworks and custom benchmarks for agentic systems, through A/B testing and specialized tools like AgentBench and Langfuse • Develop statistical models for developer behavior analysis, workflow optimization, and productivity measurement with measurable KPIs • Deploy models in production while adhering to responsible AI principles and Autodesk model governance standards, and mentor junior software AI engineers
• MS/PhD in Computer science, Machine Learning, or a related applied AI field • 5+ years of experience in machine learning with a focus on NLP, code analysis, or developer tools • Expertise in Python and ML frameworks (PyTorch, Transformers, scikit-learn) • Experience with Large Language Models and code generation models • Knowledge of AI evaluation methodologies and specific metrics for code generation • Strong foundation in statistical analysis, experimental design, and A/B testing • Proven ability to build end-to-end ML solutions, from research to production • Experience with developer workflow and productivity measurement frameworks
• Annual cash bonuses • Comprehensive benefits package
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