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Openai·Software Engineer·Technical Phone Screen·Senior

Senior
Jun 2026

Summary

Research Engineer interview at OpenAI that was basically a build-a-mini-interpreter problem. More open-ended than I expected, with a lot of follow-up discussion about language design tradeoffs rather than just grinding out code.

Questions Asked (2)

Q1

Implement an interpreter for a small toy language that supports commands like SET, ADD, and PRINT operating on a key-value variable store. Given a sequence of commands, execute them and produce the correct output.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

I went straight for the direct-execution approach, just parsing each line and dispatching on the command name.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the language specification: command syntax, variable scoping, error handling, and output format. Then design a simple interpreter loop that parses each command, executes it against a key-value store, and collects output. Discuss trade-offs between a quick-and-dirty implementation and a more extensible design, and walk through an example to validate correctness.

Pro tip: Demonstrate production-quality thinking by discussing how you would handle edge cases like undefined variables, type mismatches, and malformed commands, and how you'd structure the code for easy extension with new commands.

1. Clarify requirements and constraints

Ask about the exact command syntax, variable types, error handling expectations, and output format. Confirm whether the interpreter should be a one-pass executor or support control flow.

2. Design the interpreter architecture

Outline a simple architecture: a parser to tokenize commands, an executor with a dispatch mechanism (e.g., switch or command pattern), and a variable store (e.g., hash map). Mention extensibility for new commands.

3. Implement core commands and error handling

Write pseudocode or actual code for SET, ADD, and PRINT, including validation for undefined variables, type checking, and malformed input. Decide on error reporting (e.g., exceptions vs. error messages).

4. Test with examples and edge cases

Walk through a sample command sequence, showing the state of the variable store and output. Test edge cases like adding to an undefined variable, printing an unset variable, and invalid commands.

5. Discuss trade-offs and extensions

Talk about design trade-offs: simplicity vs. extensibility, performance considerations, and how you might add features like loops, conditionals, or functions. Mention testing strategies.

Key Points to Mention

  • Choice of data structure for variable storage (e.g., hash map for O(1) access)
  • Parsing strategy: splitting by whitespace vs. using a proper tokenizer
  • Error handling: undefined variables, type errors, and malformed commands
  • Extensibility: using a command pattern or dispatch table to add new commands easily
  • Testing: unit tests for each command and integration tests for command sequences
  • Trade-offs: quick implementation vs. robust, maintainable design

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q2

How would you extend this interpreter to support variable scoping, conditionals like IF, loops like WHILE, and function calls with CALL and RETURN?

System DesignTechnical Trade-offsAdaptability & Ambiguity
Author's notes

This is where the conversation got interesting.

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AI HintsAI Generated

Suggested Approach

Start by outlining the core architectural changes needed: adding an environment chain for scoping, an AST or bytecode representation for control flow, and a call stack for functions. Then explain how each feature (variables, IF, WHILE, CALL/RETURN) maps onto these components, emphasizing trade-offs between simplicity and performance. Conclude by discussing testing and incremental implementation.

Pro tip: Mention that you would first extend the parser to produce an AST, then implement a tree-walking interpreter with an environment chain, and only later consider bytecode compilation for performance—this shows you understand the evolution from simple to optimized interpreters.

1. Extend the parser and AST

Modify the grammar to recognize variable declarations, IF/WHILE statements, and CALL/RETURN expressions. Build an abstract syntax tree (AST) that represents these constructs hierarchically.

2. Implement lexical scoping with environments

Introduce an environment chain (or scope stack) where each environment maps variable names to values. For blocks, create child environments that inherit from parents, enabling lexical scoping and closures.

3. Add control flow evaluation

For IF, evaluate the condition and execute the appropriate branch. For WHILE, repeatedly evaluate the condition and execute the body until false. Ensure proper handling of break/continue if needed.

4. Implement function calls and returns

Use a call stack to manage function invocations. When CALL is evaluated, create a new environment for the function's parameters and local variables, execute the body, and return the result. RETURN unwinds the call stack and passes the value back.

5. Discuss trade-offs and optimizations

Compare tree-walking vs. bytecode compilation, environment chain vs. flat arrays, and recursion vs. explicit stack. Mention potential optimizations like tail-call elimination or just-in-time compilation.

Key Points to Mention

  • Environment chain for lexical scoping and closures
  • AST vs. bytecode representation for control flow
  • Call stack management for function calls and returns
  • Handling recursion and stack overflow
  • Trade-offs between simplicity and performance (e.g., tree-walking vs. bytecode)
  • Testing strategy: unit tests for each feature and integration tests for combined behavior

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.