Autodesk
Enterprise · Design & engineering software
Autodesk currently has 101 active job listings related to AI. The majority of these roles, 59%, are focused on agents, with application and serving infrastructure also representing significant portions. Engineering is the dominant function for these hires, with Canada and the United States being the top hiring countries. Frequent technical tags include agent orchestration, LLM observability, model serving, RAG, and tool use.
Enterprise · Design & engineering software
Currently tracking 59 active AI roles, down 39% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $211k).
Autodesk currently has 103 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (3), Principal Data Scientist (2), Senior Software AI Developer (2), Software Architect (2), AI & Automation Specialist. Most positions are in Engineering and Research.
Autodesk's active AI hiring is concentrated in: agents (56%), application (15%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Autodesk is hiring AI talent in: Canada (44 roles), United States (21 roles), India (11 roles), United Kingdom (4 roles).
Job postings at Autodesk most frequently reference: agent orchestration, model serving, llm observability, rag, evals.
In the past 30 days, Autodesk has posted 40 new AI-related roles. That is a -25% change versus the prior 30 days (53 → 40).
| Title | Stage | AI score |
|---|---|---|
| Research Intern, Physics-Informed Machine Learning Research intern at Autodesk Research focusing on combining machine learning with computational tools for analyzing air flow and heat transfer in building environments, specifically through physics-informed machine learning and CFD simulations. | Data | 8 |
| Principal Research Engineer AEC Data - Generative AI, East Coast United States Autodesk is seeking a Principal Research Engineer to build foundation models and generative AI tools for the AEC industry. This role involves developing scalable data pipelines for diverse AEC data sources (BIM, CAD, geometric data), transforming unstructured data, and collaborating on LLM training and fine-tuning. The position requires strong technical leadership, experience with geometric data, and proficiency in Python. | DataPost-train |
| 8 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer at Autodesk, focusing on integrating AI into AEC products. The role involves exploring and analyzing complex AEC datasets (BIM, drawings, point clouds), building and curating datasets for GenAI, prototyping workflows, and collaborating with AI researchers and product teams. The primary focus is on data preparation and understanding for AI applications within the AEC domain, with secondary involvement in model development and evaluation. | DataPost-train | 7 |
| Principal Research Engineer, AEC Data, Generative AI This Principal Research Engineer role focuses on building foundation models and generative AI tools for the AEC industry. The primary responsibilities involve developing scalable data pipelines for diverse AEC and infrastructure data sources, working with large-scale multi-modal datasets (text, geometric, terrain, reality capture) to design preprocessing and content understanding methods, and transforming unstructured data into representations suitable for machine learning. The role also involves collaborating with ML scientists to align data formats for downstream LLM training and fine-tuning, and applying data quality techniques. While the core is data engineering for ML (L0), there's a clear connection to downstream training and fine-tuning (L2). | DataPost-train | 7 |
| Senior Data Developer, Analytics & Insights Autodesk is seeking a Senior Data Developer to join their Platform Strategy & Emerging Technologies (PSET) organization. The role focuses on developing and enhancing scalable data pipelines using big data technologies, with an emphasis on an AI-native data engineering mindset. Responsibilities include designing, developing, and maintaining ELT/ETL pipelines, ensuring data quality and governance, and collaborating with various stakeholders. The position requires strong Python and SQL skills, experience with cloud platforms (AWS), and data processing frameworks like Spark. Experience with AI-native data engineering technologies, structuring data for AI reasoning, and optimizing agentic workflows is preferred. | Data | 5 |
| Principal Data Scientist Principal Data Scientist at Autodesk to partner with Visualization Solutions teams, focusing on product analytics and applied AI. The role involves driving product planning through insights, designing data models, building data pipelines, and developing analytics and experimentation frameworks. It requires strong SQL, Python/R, and big data/cloud environment experience, with a preference for experience in data mining, large-scale analytics, or ML in production, especially applied to 3D data or graphics systems. | Data | 5 |
| Senior Data Software Engineer, Personalization Senior Data Software Engineer focused on building the data foundations for Autodesk's AI-powered personalization platform. This role involves designing and owning scalable data pipelines, backend services, and APIs to support personalization, ML, and agentic workflows. The engineer will work with complex data, ensure data quality and observability, and partner with data scientists and product managers. | DataAgent | 5 |
| Software Engineering Manager, Data Platform Experienced Engineering Manager to lead a Batch Processing platform team responsible for building and scaling a high-throughput, governed data platform that powers critical business decisions and AI products. The role involves leading engineers in designing and operating large-scale distributed data processing systems on a modern lakehouse architecture, enabling reliable, secure, and cost-efficient data movement at petabyte scale. | Data | 5 |
| Intern, Model Based Systems Engineering This role is an internship focused on exploring and prototyping a model-based systems engineering (MBSE) approach for conceptual design of small-scale mechanical assemblies. It involves integrating MBSE with AI/ML methods, computational geometry, and CAD/CAM workflows to enhance early design fidelity. The intern will manage projects end-to-end, create proof-of-concept prototypes, and document findings. | Data | 5 |