Autodesk

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.

Autodesk is seeking a Principal Developer for their Applied AI team to design and deliver cloud-native AI agents for PDM/PLM workflows. This hands-on engineering role involves building scalable AI applications, fine-tuning LLMs, establishing evaluation standards, and developing frameworks for other teams. The ideal candidate has significant experience in shipping production AI/ML systems, including traditional ML or LLM-based systems, and proficiency in Python/TypeScript/Java.

Senior Applied Scientist role focused on designing, building, and productionizing agent-driven personalization platforms using LLMs and agentic systems for Autodesk products. The role involves developing ML models, agentic frameworks, inference services, and data pipelines, with a strong emphasis on operational excellence and delivering AI/ML systems into scalable production environments.

Autodesk is seeking a Senior AI Software Engineer to design, orchestrate, and operationalize agent-based systems that improve developer workflows across the software development lifecycle. The role involves hands-on design and building of AI-powered systems for workflow automation, evaluation, integration of AI frameworks, and improving developer productivity through AI-assisted coding and debugging.

Software Architect role focused on designing and building scalable, cloud-native AI agents and agentic workflows for Product Data Management (PDM) and Product Lifecycle Management (PLM) systems. The role involves defining GenAI/ML architecture, implementing tool-use, orchestration, and multi-step workflows, and establishing evaluation and observability standards. Requires strong software engineering fundamentals and experience with LLM-based systems like RAG and MCP.

Senior Principal Engineer to lead a team in designing, developing, and executing a next-generation machine learning platform (AMP) focused on agentic AI features for Autodesk products. The role involves technical leadership, strategy, and delivery of scalable AI/ML platforms, with a focus on complex agentic AI architectures and MLOps.

Senior Software Engineer focused on Computer Vision and Multimodal AI to build perception and understanding systems. Develops end-to-end pipelines combining vision models with multimodal reasoning and contextual signals, blending applied research with production-minded implementation for cloud-scale batch processing and interactive workflows.

Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, leading production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features. This role involves leading and growing a team of ML engineers, improving models based on production issues and feedback, leading production release processes, building observability and on-call practices, developing evaluation frameworks, and leading reliability/performance/cost improvements for inference and serving. The role also partners with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements, and establishes production standards for ML features.

Machine Learning Engineer with a focus on Generative AI, Computer Vision, and Computer Graphics for the film industry at Autodesk Flow Studio. The role involves designing and implementing ML and GenAI models for visual effects, neural rendering, motion capture, and 3D content generation.

Autodesk is seeking a Software Architect for Agentic AI Initiatives to define, architect, and deliver advanced AI systems capable of autonomous reasoning, decision-making, and self-directed execution. This role involves architecting, designing, and guiding the development of AI systems, including autonomous agents, multi-agent frameworks, and LLM-powered agents, and ensuring their integration into existing platforms. The role also includes evaluating emerging AI models, prototyping, benchmarking, and guiding production deployment with a focus on reliability, ethics, safety, and governance.

Director of Software Development - AI/ML at Autodesk, responsible for defining the AI technical strategy, leading AI engineering teams to develop agentic AI and machine learning projects for AutoCAD and Infrastructure products, and ensuring quality standards in AI/ML model development and deployment.

This role is for a Machine Learning Technical Manager at Autodesk, focusing on leading a team to develop and deploy next-generation AI solutions for their VFX platform (Autodesk Flow Studio). The role requires expertise in Computer Vision, Computer Graphics, or Generative AI, with responsibilities including managing a team, defining ML strategy, collaborating with product and engineering, and providing technical oversight for model development and deployment. The ideal candidate has a track record of delivering ML models into production, preferably in media/entertainment, and strong programming skills in Python with ML frameworks.

Senior Technical Program Manager to lead end-to-end delivery of programs focused on AI-driven personalization, recommendations, and agentic workflows within Autodesk's AEC products. The role involves partnering with Product Management, AI/ML, and data teams to bring intelligent capabilities into production, ensuring responsible and scalable delivery, and managing program risks related to AI performance and user experience.

Engineering Manager to lead the creation of internal AI-powered systems aimed at simplifying the Software Development Lifecycle (SDLC) for engineers, focusing on reducing cognitive, operational, and repetitive burdens.

Autodesk is seeking a Principal ML Engineer to lead the design and evolution of large-scale machine learning platforms, focusing on ML infrastructure, data systems, model lifecycle tooling, and production architecture. This role involves owning high-impact technical initiatives, defining technical direction for ML systems, and driving execution across cross-functional teams. The ideal candidate has strong system architecture, distributed computing, and end-to-end platform thinking skills.

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.

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).

Autodesk is seeking a Senior ML Engineer to design and scale ML systems and infrastructure, focusing on data pipelines, distributed training, evaluation frameworks, and production ML workflows for foundation models and ML-powered features. The role emphasizes scalable systems and production-grade ML infrastructure, operating independently across the stack.

Machine Learning Engineer focused on building and operating ML systems at scale, including pipelines for data preparation, model training, evaluation, deployment, and monitoring. The role involves developing reliable software and infrastructure for scalable machine learning workflows, contributing to distributed data processing and training systems, and supporting data ingestion and transformation for large-scale datasets.

Senior Principal ML Engineer to define and drive the technical strategy for large-scale machine learning platforms and systems at Autodesk. This role involves shaping multi-year architecture, influencing engineering standards, and leading major platform initiatives across training infrastructure, data platforms, evaluation systems, model serving, and operational excellence for production ML.

Autodesk is seeking a Senior Engineering Manager to lead the development of a centralized Personalization platform that powers insights, recommendations, and proactivity across all their products. The role involves building scalable services at the intersection of distributed systems, data platforms, and agentic AI technologies, focusing on systems that analyze data streams, reason, synthesize, and power intelligent assistants and workflows embedded within Autodesk products. The manager will hire, retain, and lead a team of engineers, drive the platform's vision and roadmap, and ensure high-quality service delivery.

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.

Software Developer role focused on building the AI Platform experience stack, including agentic interfaces, workflow editor, project memory, and dynamic UI surfaces. The role involves defining AI-first architecture, delivering agentic orchestration, context retention, and composable capability invocation, and contributing to trust models. Requires experience building AI/ML-powered user experiences like LLMs, agents, orchestration, and RAG systems.

Software Developer role focused on building the AI Platform experience stack, including agentic interfaces, workflow editors, and context retention. The role involves defining AI-first architecture, delivering agentic orchestration, and contributing to trust models, with a strong emphasis on shipping AI-native, workflow-first, composable capabilities.

Senior Development Manager to lead a team of software and ML engineers in building Autodesk's next-generation machine learning platform (AMP), focusing on powering Agentic AI features across products. The role requires technical leadership, strategy, execution, and delivery of scalable AI/ML platforms, with a blend of AI/ML expertise, leadership skills, and project delivery experience.

Machine Learning Engineer at Autodesk Research to build and enable ML-powered capabilities in Autodesk products, focusing on generative AI features. The role involves working with researchers and engineers in a fast-moving, research-driven environment, building ML pipelines, prototypes, and evaluation workflows, and working with complex 2D/3D geometry datasets.

Senior Software Engineer focused on designing and implementing scalable AI/ML serving systems within a hybrid cloud architecture. Responsibilities include managing model deployment, versioning, performance monitoring, and optimization, while ensuring security and compliance. The role requires strong software engineering skills, familiarity with AI/ML frameworks, and experience with cloud technologies and DevOps practices.

Senior Application Security Developer with a focus on AI Security at Autodesk. The role involves securing AI-enabled applications, particularly LLM-powered features, agent-based systems, and AI-assisted development workflows. Responsibilities include leading security assessments, defining secure patterns, embedding security controls, developing secure coding guidelines, evaluating runtime controls, integrating AI security testing into CI/CD, and providing developer education. Requires 5+ years of application security experience and familiarity with AI/LLM systems.

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.

Principal Experience Designer focused on defining the core interaction model for Autodesk’s future agentic product experiences, emphasizing personalized workflow-oriented surfaces and human-AI collaboration patterns. The role involves designing how users initiate, iterate, and operationalize work with AI, translating complex system capabilities into intuitive product experiences.

Senior Full-Stack Engineer to build AI-native applications with agentic workflows. The role involves designing and implementing backend logic for AI agents to interact with external systems, building human-in-the-loop interfaces for user collaboration, and optimizing the entire stack for performance, especially LLM streaming latency.

Senior Development Manager to lead a team of software and ML engineers in building Autodesk's next-generation machine learning platform (AMP). This platform will power Agentic AI features across Autodesk products. The role requires technical leadership, driving technical strategy, execution, and delivery of scalable AI/ML platforms, and ensuring adoption. Responsibilities include leading and mentoring teams, collaborating with cross-functional teams, guiding system design and architecture, managing execution and budgets, participating in code reviews, fostering a high-performance culture, and hiring top talent. Requires experience in software development, managing ML teams, building scalable production applications on cloud platforms, experience with agentic AI architectures, MLOps, CI/CD, deep learning, and agile methodologies.

Autodesk's AI Lab is seeking a junior AI Developer to prototype, experiment, and develop AI capabilities for their Media & Entertainment product portfolio. The role involves building new AI features, integrating existing AI capabilities, fine-tuning and evaluating LLMs, contributing to AI system evaluation and monitoring, and supporting the integration of AI agents with internal/external services. The role emphasizes cloud-based software and services, with an intent to turn experiments into commercial products. The developer will use AI coding tools but must own the quality, security, and correctness of their work.

Principal Conversational Designer to define and deliver conversational design for Autodesk's agentic AI experiences within the AEC organization. This role will shape how customers interact with AI-powered products and workflows through natural, intuitive, and trustworthy conversational experiences, partnering closely with product, UX, engineering, research, and AI teams.

Senior Machine Learning QA Developer responsible for defining and upholding quality standards for ML systems, including data, models, and systems. The role involves designing evaluation suites, automating QA workflows, and building quality gates for training and deployment pipelines. Experience with CAD software and MLOps practices is beneficial.

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.

Senior Software AI Developer role focused on designing and implementing AI features for Autodesk's access group platform, working with product managers, developers, and operations to build and maintain the platform and its roadmap. The role involves developing API's using Python or Node.js, integrating AI Agent tools & frameworks, and building agentic experiences and AI automation, with experience in AWS Bedrock and Strands.

Director of Experience Design leading the strategy and growth of AI-first, agentic, and integrated experiences for Autodesk's manufacturing platform. This role focuses on evolving cloud and SaaS solutions to enhance customer productivity and usability by partnering with Product Engineering, Development, and AI/ML teams to shape the future of manufacturing tools.

Senior ML Engineer at Autodesk's Growth and Experience Technology (GET) organization, focusing on building and deploying production-grade ML systems for personalization, recommendations, search, and generative AI across the customer journey. The role involves the full ML lifecycle, from problem framing to deployment, with a strong emphasis on scalable infrastructure and product partnership.

Principal Technical Program Manager to own execution and delivery for a Generative AI program in the AEC industry, coordinating cross-functional teams to bring models and ML/data pipelines into production customer experiences. This role involves translating strategy into executable workstreams, managing dependencies, risks, and ensuring scalable, secure, reliable AI/ML solutions meet product launch and operational requirements. It also includes defining launch gates, go/no-go criteria, and operational readiness in partnership with various stakeholders.

Principal Cloud Platform Developer focused on building AI/ML and agentic AI solutions to automate and improve developer onboarding, troubleshooting, and self-service experiences within Autodesk's developer enablement platforms.

Autodesk is seeking a Principal Full Stack Developer to join their Connected Delivery platform team. The role involves building a resilient, scalable, and highly available full-stack application. Key responsibilities include leading design and development, providing team leadership, participating in agile ceremonies, and working with product managers. The role requires strong experience in modern web development, cloud services, microservices, AWS, and specifically building production-grade AI/ML applications using RAG, LangGraph, and MCP integrations.

This Principal Content Designer role focuses on defining and designing the language, interaction, and intelligence of AI experiences within Autodesk's product design and manufacturing tools. The role involves hands-on content design for AI initiatives and agent experiences, creating scalable language and explanation frameworks to ensure clear, trustworthy AI communication. It requires close collaboration with AI, design, product, and engineering teams to translate AI platform guidance into practical in-product patterns and mentor other designers.

Senior Machine Learning & AI Engineer to build foundation of intelligence-driven user management and access systems. This role will define and deliver ML capabilities from the ground up, leading development of intelligent systems for proactive automation, predictions, and recommendations. Responsibilities include end-to-end ML system development, data pipelines, model development for prediction/recommendation/anomaly detection, real-time/batch inference systems, and collaboration with platform/experience engineering teams.

Autodesk is seeking a Senior Software AI Developer to design and implement AI features for their platform, focusing on AI Agent tools and frameworks, and agentic experiences. The role involves working with product managers and developers to design, implement, and maintain the platform and its roadmap, with a strong emphasis on building scalable and reliable AI-driven features.

Product Manager for Generative AI APIs at Autodesk, focusing on developer enablement and translating AI research into scalable, production-ready solutions. The role involves defining product vision, roadmaps, and driving adoption for both internal and external developer tools and APIs, while ensuring alignment with responsible AI principles.

Autodesk is seeking a Principal Software Developer to design and implement AI features for their platform, focusing on AI agents and automation. The role involves working with product managers and developers to build and maintain the platform and its roadmap, applying deep technical expertise to resolve complex programming and design problems, and ensuring scalability, security, and availability.

Principal Machine Learning Engineer focused on evaluating ML models for CAD and BIM products. The role involves designing evaluation datasets, metrics, and protocols, building repeatable evaluation tooling, analyzing data to assess model behavior and customer outcomes, validating ML-powered product experiences, and communicating findings to stakeholders. The goal is to ensure ML-powered experiences meet high standards for quality, reliability, and customer impact.

Software Development Manager for a full-stack engineering team at Autodesk, focused on integrating AI capabilities and agentic workflows into product experiences. The role involves defining data representations, delivering integration surfaces, and designing client/server components for automated assistants and flows. Responsibilities include technical leadership, people management, ensuring predictable delivery, and cross-functional collaboration with product and research teams.

Senior Data Scientist to join Autodesk’s Platform Strategy and Emerging Technologies (PSET) organization to develop next-generation applied AI solutions. The role involves developing and deploying end-to-end AI/ML pipelines, applying Generative AI for scalable solutions like AI assistants, and building classic ML applications for personalization and recommendations. Requires expertise in large-scale ML model development, deep learning, RL, or NLP, with hands-on experience in AI/LLM development and fine-tuning.