Dell Technologies

Typical interview loop

How Dell Technologies usually runs it for applied AI and LLM engineer roles.

1. 1

   Recruiter screen

   Focus: Background, logistics

   A call on your background and logistics, with at most a few light technical checks.

2. 2

   Online assessment

   Focus: CS fundamentals, aptitude

   A timed multiple-choice test on core CS (DBMS, OS, networking, OOP, SQL) and aptitude, sometimes with coding problems.

3. 3

   Technical interviews

   Focus: ML fundamentals, coding, projects

   One to three technical sessions; for data and ML roles these cover ML, statistics and forecasting on a coding platform, for engineering roles coding plus a project deep-dive.

4. 4

   Managerial round

   Focus: Project depth, judgment

   A manager digs into your resume, projects and tech choices, and can mix in ML concepts, SQL and a coding question.

5. 5

   Final / HR round

   Focus: Behavioral, motivation

   A mostly behavioral conversation, often with a skip-level leader or HR, on motivation, fit and expectations.

Topics to prepare for Dell Technologies

The topics its loop weighs most, each with what interviewers check and what to study.

• Behavioral interviews: STAR stories for AI engineersBehavioral
• The project deep-dive roundBehavioral
• Story bankBehavioral
• Interview openers and closersBehavioral
• Embeddings basics: word2vec, contrastive learning, what embeddings captureML fundamentals
• Python for ML interviewsCoding
• Calling LLM APIs in Python: async, streaming, retriesCoding
• Self-attention from scratchTransformers

How it weights your plan

Selecting Dell Technologies when you build a plan multiplies each topic’s priority score: