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.
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 |
|---|---|---|
| Principal AI Research Scientist Post-Training Alignment Autodesk is seeking a Principal AI Research Scientist focused on post-training alignment for foundation models. The role involves developing novel algorithms for model reliability, controllability, and alignment using reinforcement learning, preference optimization, and agentic systems. Responsibilities include designing experiments, building scalable workflows, contributing to publications, and establishing model readiness criteria. The position emphasizes leveraging Autodesk's unique domain-grounded verifiers for RL and requires a strong publication record and experience in alignment research or agentic AI. | Post-trainAgent | 9 |
| Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU) - Research Lead / Principal Scientist & Manager for Post-Training, Alignment, and Reinforcement Learning at Autodesk AI Lab. The role focuses on transforming foundation models into reliable, aligned, and useful systems for domain-specific workflows, leveraging unique Autodesk assets like physics simulation engines for reward signals. Responsibilities include research strategy, algorithm development, team leadership, and driving evaluation frameworks. The role emphasizes research with real-world product impact and publication at top-tier venues. |
| Post-trainAgent |
| 9 |
| 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 |
| Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA) Research Lead/Principal Scientist & Manager for Post-Training, Alignment, and Reinforcement Learning at Autodesk AI Lab. The role focuses on transforming foundation models into reliable, aligned, and useful systems for complex, domain-specific workflows in industries like architecture, engineering, and construction. Responsibilities include leading research strategy, developing novel algorithms, managing a team of AI scientists, designing evaluation frameworks, and contributing to publications. The position leverages unique assets like physics simulation engines for grounded reinforcement learning. | 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 |
| Senior Machine Learning Software Engineer Senior Machine Learning Software Engineer for Autodesk's Fusion team, focusing on bridging research and production for AI applications in product design and manufacturing. The role involves developing software prototypes, automating processes, participating in design discussions, writing interface programs, developing data pipelines, containerizing applications, and advocating best practices across research and development. | Post-trainServe | 7 |
| Intern, AI Developer, Stagiaire développeur IA Autodesk is seeking two creative technologist interns interested in visual and deep learning to join their team in Montreal. The role involves prototyping and developing AI-forward techniques and research for 3D graphics, video, games, and visual effects, leveraging computer vision and graphics algorithms. Interns will also participate in developing predictive models and extending ML libraries, staying updated on AI research and production advancements. | Post-train | 7 |
| Machine Learning Engineering Manager Machine Learning Engineering Manager for Autodesk's AEC Solutions group, responsible for leading a team to build foundation models and generative AI tools for the AEC industry. The role involves recruiting, mentoring, fostering innovation, and ensuring privacy/security standards. Requires MS in a related field, 5+ years in ML engineering, and 3+ years in management. Experience with deep learning frameworks, 3D geometry, and AEC industry is preferred. | Post-train | 7 |
| Senior Software Engineer, Localization Engineering Senior Software Engineer focused on architecting and scaling AI-driven localization systems, integrating NMT, LLMs, QE, and APE. The role involves designing and implementing advanced localization pipelines, fine-tuning transformer models, building scalable backend services, and optimizing model performance on AWS. This position requires strong backend engineering, localization workflow knowledge, and expertise in AI translation technologies. | Post-trainServe | 7 |
| PhD Intern, HCI & Visualization Research Autodesk is seeking a PhD intern to join their HCI and Visualization research group. The intern will work on a research project in human-computer interaction or data visualization, focusing on areas like user interfaces for generative AI, information visualization, and generative design tools. Responsibilities include developing software prototypes, conducting literature reviews, building prototypes, running experiments, analyzing data, and authoring research papers. A PhD program enrollment in Computer Science with a specialization in HCI and peer-reviewed publications are required. | Post-train | 7 |