Software Engineer, Data

Job Requisition ID #24WD79337Position OverviewAs a Software Engineer, Data at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features that help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. Our mission is to build scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with AI researchers to build generative AI features in Autodesk products. You are comfortable working at the intersection of research and product.Reporting Structure: You will report to Senior Manager, Autodesk Research, Generative AI.The location of this role is hybrid with flexible work locations. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.ResponsibilitiesCollaborate on engineering projects for product with a diverse, global team of researchers and engineers.Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning.Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning.Conduct and analyze experiments on data to provide insights.Produce data visualizations and summaries to communicate data characteristics to researchers and leadership.Work with our legal and trust teams to ensure compliant and ethical use of data.Develop data pipelines into secure remote environments respecting and demonstrating security best practices.Write testable code that is well documented and easy to understand.Analyze errors and provide solutions to problems that arise.Minimum QualificationsBSc or MSc in Computer Science, or equivalent industry experience3+ years of experience with software version control, unit tests, and deployment pipelinesExperience in data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometryProficiency with Linux systems and bash terminalsKnowledge of cloud architectures and networkingExperience withCloud services & architectures (AWS, Azure, etc.)Documenting code, architectures, and experimentsRelational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)Frameworks such as Ray data, Metaflow, Hadoop, Spark, or HiveVector data storesPreferred QualificationsExperience with computational geometry such as mesh or boundary representation data processing.Experience with CAD model search and retrieval, in PLM systems or other searchable CAD databases.Knowledge of statistics.You have experience analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others.You have knowledge of the design, manufacturing, AEC, or media & entertainment industries.Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)The Ideal CandidateHas initiative to provide solutions and to learn and develop new technologiesIs comfortable building prototypes from scratch and writing maintainable code within existing codebasesEnjoys learning & collaborating across global locationsIs comfortable working in newly forming ambiguous areasIs comfortable building scalable and maintainable systems that will be relied on by othersAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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