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).
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
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 Research Scientist - Datasets at Autodesk Research Autodesk Research is seeking a Principal Research Scientist focused on dataset creation and annotation for AI Lab. The role involves developing specialized datasets for training and fine-tuning 2D & 3D models, designing evaluation frameworks, and driving data collection projects. Requires a Master's or PhD in an AI/ML related field, strong statistical and deep learning background, and Python/C++ coding skills. Preferred qualifications include experience in Autodesk domains, generative AI, NLP, multi-modal learning, computational geometry, and a publication track record. | DataPost-train | 7 |
| 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 |
| Principal Knowledge Acquisition Analyst Autodesk is seeking a Principal Knowledge Engineer to design and operate AI-powered systems for capturing and transforming knowledge from enterprise engagements into structured, reusable guidance. This role involves building AI-assisted pipelines, optimizing AI agents, defining quality metrics, and ensuring data is ready for downstream content production and AI use cases like RAG. | DataAgent | 7 |