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 107 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (3), Principal Data Scientist (2), Principal Software Development Engineer (2), Senior Software AI Developer (2), Software Architect (2). Most positions are in Engineering and Product.
Autodesk's active AI hiring is concentrated in: agents (54%), serving infrastructure (15%), application (12%). 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 (48 roles), United States (25 roles), India (12 roles), United Kingdom (4 roles).
Job postings at Autodesk most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Autodesk has posted 34 new AI-related roles. That is a -56% change versus the prior 30 days (78 → 34).
Currently tracking 59 active AI roles, down 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $211k).
| Title | Stage | AI score |
|---|---|---|
| Principal AI Research Scientist Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU Autodesk is seeking a Principal AI Research Scientist to focus on post-training and alignment research for foundation models, leveraging unique domain-grounded verifiers and physics simulation engines. The role involves developing novel algorithms, designing experiments, building scalable workflows, and contributing to publications. Experience with RLHF, agentic systems, long-horizon reasoning, and evaluation frameworks is critical. The position offers a direct path from research to product impact within Autodesk's diverse domains. | Post-trainAgent | 9 |
| AI Research Manager/Scientist, Reinforcement Learning Autodesk Research is seeking an AI Scientist Manager to lead post-training and model alignment efforts. This role involves managing and growing a team of AI scientists while also contributing as a hands-on researcher. Responsibilities include leading instruction tuning, preference optimization (RLHF, RLAIF, DPO, PPO), and domain-specific post-training. The role also involves designing and maintaining evaluation frameworks for reasoning, tool-use, safety, and robustness, and providing go/no-go recommendations for model releases. The position requires a PhD or equivalent experience, proven people management skills, and expertise in LLMs, fine-tuning, and experimental design. |
| Post-trainAgent |
| 9 |
| Research Engineer Research Engineer role focused on applying AI and agentic workflows to manufacturing and engineering contexts, involving the design and building of experimental systems that connect digital models, physical processes, and automation. | Agent | 7 |