Autodesk Interview Questions (2026-2027)

Hi everyone, Autodesk is coming to our campus for an Apprentice hiring drive, and I’m planning to apply for the Data Scientist / Software Development Engineer apprentice roles. I wanted to understand what the selection process and interviews are actually like. A bit about my background: * Final-year CS student (AI specialization) * Python + SQL * Built AI/LLM projects (RAG, LangChain, agent workflows) * ML internship experience * Comfortable with DSA fundamentals (\~700 LeetCode problems solved) * Some backend experience using FastAPI I’m trying to figure out: 1. What does Autodesk usually focus on in apprentice/fresher interviews? 2. Is the process more

DSA-heavy,

ML-focused, or project discussion based? 3. Difficulty level of coding rounds (LeetCode Easy/Medium/Hard?) 4. Do they ask system design or mostly fundamentals? 5. For Data Scientist roles — how deep do they go into statistics vs ML implementation? 6. Any specific topics or concepts I should prioritize in the next 1–2 weeks? If anyone has gone through Autodesk interviews (campus or off-campus), I’d really appreciate hearing your experience or preparation tips 🙏 Also open to any recommended resources or prep strategies. Thanks!