Principal Data Scientist
Ontario +2Autodesk
Candidates need a master's or PhD in a quantitative field, strong Python and SQL skills, experience with big data platforms and data science toolkits, and knowledge of statistics and machine learning. They also need reporting and visualization experience and the ability to explain complex topics to technical and non-technical audiences.
Python, SQL, Hadoop, Spark, Hive, Jupyter
Senior Experience Designer, Generative and Agentic Workflows (Canada)
Toronto, ON +1Autodesk
5+ ansCandidates need 5+ years of professional UX or product design experience, a bachelor's degree or equivalent experience, and a strong portfolio of complex digital products. They must translate complex data systems into simple interfaces, prototype with traditional and AI tools, and influence cross-functional partners without formal authority.
Design tools for AEC project lifecycle
Principal Data Engineer, User Success (Agentic Experiences)
Toronto, ON +1Autodesk
10+ ansCandidates need 10+ years in data engineering or distributed systems, strong Python, Spark and SQL skills, and experience with LLM ecosystems, vector databases, streaming tools and AWS. They must lead cross-functional technical initiatives and communicate clearly with technical and non-technical audiences.
Python, PySpark, Spark, Kafka, Flink, dbt
Senior Software Developer, Data Delivery
Toronto, ON +2Autodesk
3+ ansCandidates need 3+ years of professional backend or cloud development, strong programming skills, and experience building production HTTP APIs and databases. They should understand distributed systems, operate production services, and communicate tradeoffs clearly.
AWS, Node.js, TypeScript, SQL, CI/CD
Senior Revenue Analyst
British Columbia +1Autodesk
3+ ansCandidates need a bachelor's degree in accounting, finance or business, or equivalent practical experience, plus 3+ years of relevant work and working knowledge of U.S. GAAP with a focus on revenue recognition. Strong communication, business judgment and teamwork are required, and CPA, RAR, SAP and Excel skills are preferred.
Excel, SAP, Business Objects, RAR
Software Development Manager, Horizontal Services
Montréal, QC +1Autodesk
10+ ans3+ gestionCandidates need 3+ years of people leadership and 10+ years of software engineering experience. Autodesk asks for strong backend skills in distributed systems, microservices and REST APIs, plus Kafka, React and a language such as Java, Python or Node.js.
Kafka, React, Java, Python, Node.js
Principal Security & Compliance Analyst
Toronto, ON +2Autodesk
4+ ansCandidates need 4 to 5 years of SOX 404 ITGC audit, IT assurance or security compliance experience with hands-on technical work. Autodesk also wants strong knowledge of IT general controls, cloud and on-premises control design, and evidence testing automation.
SAP
Software Architect: AEC Platform Data
Montréal, QC +4Autodesk
10+ ansBaccalauréat en informatique ou expérience équivalente; Au moins 10 ans en conception de systèmes distribués natifs du nuage; Au moins 5 ans comme architecte inter-équipes
AWS, JSON Schema, Kafka, Kinesis, PostgreSQL, DynamoDB
Principal Software Developer (Forma Data, File+)
Ontario +10Autodesk
8+ ans8 ans et plus d'expérience en développement logiciel; Maîtrise de Java, Go et GraphQL; Expérience AWS et des services cloud sécurisés
AutoCAD, Revit, AWS, Linux, CentOS
Senior Software Developer
Alberta +6Autodesk
5+ ansAu moins 5 ans d'expérience en développement logiciel; Licence en informatique, ingénierie ou domaine technique connexe; Expérience avec TypeScript, C# et/ou Python
Postgres, AWS, GitHub Copilot, Cursor, Claude, Cypress
Senior DevOps Developer
Quebec +11Autodesk
5+ ans5+ ans d'infrastructure cloud en production (AWS préféré); 5+ ans en génie logiciel, dont 2+ ans comme SRE; Maîtrise de Docker, Kubernetes et des outils CI/CD
Kubernetes, Docker, AWS, MongoDB Atlas, Terraform, Ansible
Director, Product Management, Platform Trust
Télétravail au CanadaAutodesk
10+ ansPlus de 10 ans en gestion de produit ou de plateforme; Expérience d'influence dans des organisations matricielles; Compréhension des attentes en sécurité, confidentialité et IA
Customer experience, Workflow, Research, Customer insight, Communication skills, ML