Autodesk
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).
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.
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 35 new AI-related roles. That is a -33% change versus the prior 30 days (52 → 35).
| 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 |
| 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 |