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Currently tracking 59 active AI roles, down 39% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $211k).

Hiring
59 / 66
Momentum (4w)
↓-112 -39%
176 opens last 4w · 288 prior 4w
Salary range · avg $211k
$131k–$323k
USD · disclosed roles only
Tracked since
Oct '25
last role 5w ago
Hiring velocityscroll left for older weeks
1 new role
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22
Autodesk

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Autodesk hiring for?

    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.

  • What stage of AI development does Autodesk focus on?

    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.

  • Where is Autodesk hiring AI talent?

    Autodesk is hiring AI talent in: Canada (44 roles), United States (21 roles), India (11 roles), United Kingdom (4 roles).

  • What technologies does Autodesk's AI team work with?

    Job postings at Autodesk most frequently reference: agent orchestration, model serving, llm observability, rag, evals.

  • How many AI roles has Autodesk posted recently?

    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).

Jobs (13)

62 AI · 449 total active
FilteredFunctionResearch×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 6Pretrain · 1Post-train · 10Serve · 13Agent · 55Eval Gate · 3Ship · 7
Function
AllEngineering · 71Research · 13Product · 11
Country
AllCanada · 50United States · 24India · 8United Kingdom · 6Poland · 2Germany · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI 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-trainAgentResearchToronto, ON +9 · Remote4w ago9
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
Research
London, United Kingdom
4w ago
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-trainAgentResearchSan Francisco, CA +7 · Remote4w ago9
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-trainAgentResearchToronto, ON +4 · Remote6w ago9
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-trainAgentResearchSan Francisco, CA +7 · Remote8w ago9
Principal Research & Design Engineer
Lead applied research at the intersection of AI, advanced fabrication, and real-world workshop operations. Identify operational challenges, develop AI-enabled systems to address them, and validate through hands-on experimentation. Focus on improving operations of advanced design-and-make environments using AI, including machine utilization, workflow planning, safety, and data-informed decision-making. Develop and evaluate AI/ML approaches like generative AI, computer vision, optimization, and edge AI. Work with data from machines, sensors, and operational systems. Build robust prototypes for real-world deployment.
AgentResearchBoston, MA +11w ago8
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.
DataResearchToronto, ON +12w ago8
Senior Research Engineer
Autodesk Research is seeking a Senior Research Engineer to conduct applied research in agentic AI, generative AI, design systems, simulation, and creative engineering workflows for a new research platform exploring new ways to design. The role involves building prototypes, experimenting with agentic systems, and contributing to a research culture, with a focus on using AI as a practical and creative medium for design and making.
AgentResearchLondon, United Kingdom2w ago8
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.
AgentResearchSan Francisco, CA +14w ago7
Research Engineer
Research Engineer role focused on applied research in manufacturing, combining AI, automation, digital twins, robotics, and simulation to redefine how things are made. The role involves designing and building experimental systems that connect digital models with physical processes and real-world data, applying AI-assisted and agentic workflows to manufacturing contexts.
AgentResearchSan Francisco, CA +14w ago7
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-trainResearchItaly, Germany · Remote6w ago7
Associate Researcher, Design and Manufacturing
Associate Researcher focused on applied research in design and manufacturing, bridging digital and physical worlds. This role involves designing and executing physical experiments, building data pipelines from sensor/equipment data, and developing/deploying ML models on edge devices in factory environments. It requires hands-on work with manufacturing equipment and applying CS/data science methodology.
ServeDataResearchToronto, ON +16w ago7
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-trainResearchToronto, ON +1Oct '257