Texas Instruments

Typical interview loop

How Texas Instruments usually runs it for applied AI and LLM engineer roles.

1. 1

   Online assessment

   Focus: Aptitude and CS fundamentals

   A timed multiple-choice test that pairs aptitude and logic questions with CS fundamentals such as OS, DBMS, networking and OOP, often reading code snippets.

2. 2

   Technical interview

   Focus: Projects, basic coding, systems

   A 30 to 45 minute conversation that opens with a project walkthrough, then one or two easy coding problems and questions on memory, operating systems and C.

3. 3

   HR round

   Focus: Fit and logistics

   A short HR conversation after the role interviews; some campus drives fold it into the technical round instead.

Topics to prepare for Texas Instruments

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

• Python for ML interviewsCoding
• Calling LLM APIs in Python: async, streaming, retriesCoding
• Self-attention from scratchTransformers
• Retrieval for RAG: chunking, hybrid search, rerankingRAG
• Evals and error analysisEvals
• The decoder-only transformer (GPT forward pass)Transformers
• Decoding: greedy, beam, temperature, top-k/top-pInference
• Embeddings and vector searchRAG

How it weights your plan

Selecting Texas Instruments when you build a plan multiplies each topic’s priority score: