Autodesk

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Autodesk's Applied AI team is seeking a Senior Software Developer to build and ship production-grade cloud-native Agentic AI applications. This hands-on architecture role involves designing core platform patterns, writing production code, and integrating agents with internal/external services. The role requires experience in delivering AI/ML systems in production, proficiency in Python/TypeScript/Java, and experience with AI coding tools.

Senior Machine Learning Engineer focused on MLOps for CAD and BIM, responsible for building and operating infrastructure to deploy, monitor, and integrate AI models into production across Autodesk products. This role ensures reliability, scalability, and operational excellence for AI-powered experiences, partnering with researchers and product teams.

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.