Skip to main content
T4 Automotive and self-driving WeRide New grad Round 1

WeRide AI Infra campus first round

Real WeRide AI Infra campus first-round interview questions covering inference optimization, operator optimization, high-performance computing, and related topics

Inference optimization Operator optimization High-performance computing

Project experience

  1. Introduce the previous internship work (about 10 minutes)

Inference optimization

  1. Principle of PD disaggregation, and how to design the scheduling strategy for the two queues
  2. What VRAM optimization techniques does vLLM use (PagedAttention, continuous batching, memory reuse, etc.)
  3. Core idea and use cases of Chunked Prefill

Fundamentals

  1. Concept and role of virtual memory
  2. Process vs thread, and how the OS schedules them
  3. Roles of each layer in the TCP/IP stack
  4. How network communication finds the target host via IP address
  5. Basic Kubernetes architecture (Pod, Container, and other core concepts)

Coding

  1. DFS-related problem; start from a brute-force solution and improve the time complexity (binary-search optimization idea)