openai onsite interview for research engineer position

我拿到了下面这个research engineer面试的prompt，请问大家对可能会问什么问题有什么建议吗？

Systems Coding (75 min)

This interview focuses on practical, systems-oriented problem solving rather than algorithm trivia. You'll work through a hands-on coding exercise that involves building and manipulating in-memory data structures, maintaining state over time, and writing clean, correct logic. We're interested in how you reason about and implement system behavior, how data flows, how state changes, and how performance and resource u...

我拿到了下面这个research engineer面试的prompt，请问大家对可能会问什么问题有什么建议吗？

Systems Coding (75 min)

This interview focuses on practical, systems-oriented problem solving rather than algorithm trivia. You'll work through a hands-on coding exercise that involves building and manipulating in-memory data structures, maintaining state over time, and writing clean, correct logic. We're interested in how you reason about and implement system behavior, how data flows, how state changes, and how performance and resource usage are affected more than your ability to recall specific algorithms or APIs.

The goal is to see how you design and implement thoughtful technical solutions, from high-level structure down to key implementation details.

What we’re evaluating

How you reason about system behavior and state

How data flows through your design

Performance and resource usage trade-offs

Clarity and correctness of implementation

What you’ll do

Build and manipulate in-memory data structures

Maintain and update state over time

Choose appropriate data structures

Reason about time and space trade-offs

Use basic concurrency primitives where needed

What to review

Data structures and state management

Time and space complexity

Concurrency and shared-state correctness

Writing clear, maintainable logic