Senior Software QA Engineer

Autodesk is a company that empowers innovators to design and make a better world. Fusion is their integrated cloud platform for CAD, CAM, CAE, and PCB, increasingly powered by AI-driven capabilities such as intelligent design assistance, automation, and data-driven workflows.

• Bachelor’s degree in computer science, engineering, mechanical, or equivalent experience.
• 2–4 years of professional experience in software QA or development.
• Familiarity with Agile development practices (scrum, sprint planning, retrospectives).
• Experience with test management and defect tracking tools (e.g., JIRA, TestRail).
• Basic knowledge of automation frameworks and scripting languages (Python or similar).
• Good troubleshooting skills and attention to detail.
• Strong communication and interpersonal skills; ability to work effectively in a team.
• Familiarity with CAD concepts and willingness to learn quickly.
• Understanding of how AI/ML-powered features differ from traditional deterministic software.
• Ability to think critically about non-deterministic behavior, edge cases, and risk in AI systems.

Preferred Qualifications:

• Experience with Fusion or similar CAD/CAM platforms.
• Exposure to AI testing techniques, tools, and methodologies

• Analyze requirements and clarify scope with stakeholders; apply risk-based thinking to prioritize tests.
• Contribute to test plan creation and maintenance, ensuring coverage for both deterministic features and AI-driven functionality.
• Execute test cases, validate results, and report progress; prepare defect reports and test summaries.
• Troubleshoot typical technical problems using checklists and diagnostic guides; escalate complex issues appropriately.
• Actively participate in scrum ceremonies and cross-functional discussions.
• Test and validate AI-enabled features, including behavior consistency, boundary conditions, failure modes, and user impact.
• Apply critical thinking to identify risks specific to AI systems (e.g., data sensitivity, non-deterministic outcomes, model drift, edge cases).
• Collaborate with developers and product teams to ensure testability and observability of AI-driven functionality.
• Contribute to defining and executing AI test strategies, including exploration testing for intelligent features.
• Support evaluation of AI-related defects and help prioritize issues based on user impact and risk.
• Support test automation efforts that scale with the speed of AI-enabled development.

It's a hybrid role based in Kraków.