The Software Engineer will help design and maintain scalable APIs, enhance personalized user experiences, and collaborate with teams to transform requirements into product enhancements. Responsibilities include performance optimization, code maintenance, and supporting production services.

The Software Engineer position involves building, shipping, and maintaining features for construction products in a cloud environment, implementing API designs and backend services, and ensuring code quality through testing and reviews. Responsibilities also include translating requirements into engineering tasks, participating in team communications, and supporting production systems.

The QA Analyst will analyze feature specifications, develop test cases, test product workflows, log defects, and collaborate closely with developers and the team to ensure high-quality solutions in media and entertainment software. Responsibilities include simulating production testing scenarios and contributing to automated test development.

The People Support Advisor provides first-level HR assistance to employees, ensuring reliable support and timely resolution of inquiries. They assist with administrative tasks, learning and development activities, employment verifications, and collaborate to enhance HR service delivery. The role requires strong customer service and communication skills, alongside a basic understanding of HR processes.

The intern will conduct research on solving engineering design problems using deep learning methods, implement data generation and model testing pipelines, publish research findings, and develop prototypes or demonstrations of their solutions.

As a Full Stack Software Developer, you will collaborate with engineers and experience designers to develop and test software, implement components focusing on quality, participate in design reviews, and write testing code while maintaining modern software practices within an Agile environment.

The Machine Learning Research Intern will conduct research and experiments to enhance reasoning in large language models and vision-language models, develop multi-modal AI models, implement synthetic data for training, and publish findings in AI journals and conferences.

As an AI Research Scientist Intern, you will apply machine learning techniques to enhance design processes in various areas, including 3D modeling and image projection. Your focus will be on generative models for content creation in media and entertainment, alongside research publication efforts and collaboration with skilled professionals.

The intern will work on a mutually agreed research project focusing on HCI or data visualization, support software prototype development, conduct literature reviews, gather requirements, develop algorithms, conduct usability studies, and evaluate research findings while collaborating with mentors.

The Keynote Producer will manage and execute high-quality keynote experiences for Autodesk's flagship events, overseeing the collaboration with creative teams and stakeholders, ensuring production processes meet quality standards, and enhancing audience engagement through innovative presentations.

As a Principal Data Scientist at Autodesk, you will lead initiatives in data science and AI for the AEC industry, analyzing large data sets, developing scalable data pipelines, and mentoring data scientists. Your role involves collaboration across teams to implement data-driven strategies that influence key business decisions.

The Distinguished Research Scientist will lead a team focused on developing physics-informed AI for design and engineering tools. Responsibilities include recruiting scientists, coordinating research projects, managing the team, publishing research, and consulting with product teams on implementation.

As a Machine Learning Performance Developer at Autodesk, you will implement GPU kernels for low precision inference, optimize machine learning tasks, train models, and collaborate with a global team on AI-powered product features. Your role includes profiling code, preparing appropriate environments, and presenting results.

As a UX Designer at Autodesk, you will lead end-to-end design processes, collaborate with cross-functional teams, and enhance user experiences through research and prototyping. Key responsibilities include visualizing solutions, conducting user research, and defining design standards to ensure quality delivery.

As a Visual Experience Design Intern, you will collaborate with designers to create visual solutions, enhancing user interfaces and developing design system resources for Autodesk products. This role involves crafting high-quality visual deliverables using Figma and participating actively in a global design community.

As an Applied AI Research Scientist at Autodesk Research, you will lead applied research in AI and ML, developing new models and techniques, reviewing literature, and exploring new data sources to enhance design and construction processes.

As a Machine Learning Ops Developer, you will develop scalable data pipelines and architectures, support data collection and analysis, and write code for model training and deployment, while ensuring the performance of machine learning models. You will collaborate with engineers and work with large datasets to enhance design and engineering workflows in the AEC industry.

As a Product Manager, you will drive product strategy and execution for the Autodesk Informed Design solution, collaborating with engineering, design, and business stakeholders. Responsibilities include developing product vision, managing feature release planning, incorporating customer feedback into the product roadmap, and analyzing key metrics for data-driven decision making.

The Principal DevOps Developer will lead high-stakes initiatives, manage key business outcomes, and mentor team members. Responsibilities include overseeing platform capabilities, enhancing engineering practices, leading technical discussions, and acting as a Product Owner. The role involves significant leadership in DevOps and requires expertise in AWS, Kubernetes, CI/CD processes, and software development practices.

The Principal Machine Learning role involves architecting scalable data pipelines and production-level ML solutions for the AEC industry, leveraging generative AI and large-scale multimodal data. The role requires technical guidance, mentoring juniors, and defining innovative solutions through deep domain expertise in modern ML frameworks and cloud services.