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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Meta SWE coding round with a calculator problem that looks easy until you actually think about operator precedence and exponentiation. Pretty standard technical screen but the power operation tripped me up more than I expected.

Questions Asked (1)

Q1

Build a calculator that parses a string expression and evaluates it correctly, supporting addition, multiplication, and exponentiation, with proper operator precedence.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

I started with the easy case, addition and multiplication, and got through precedence fine using a stack.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints (e.g., integer-only, no parentheses, operator precedence) and then propose a two-phase solution: tokenize the input string and then evaluate using a stack-based or recursive descent approach that respects precedence. Walk through an example to demonstrate correctness and discuss trade-offs between different parsing strategies.

Pro tip: Mention that exponentiation is right-associative and has higher precedence than multiplication, which is higher than addition; also note that you can handle right-associativity by adjusting the parsing order or using a stack with careful popping conditions.

1. Clarify requirements and constraints

Ask about input format (e.g., spaces, parentheses, negative numbers), operator precedence, associativity, and expected output type. Confirm whether the expression is guaranteed valid.

2. Choose a parsing strategy

Decide between recursive descent, shunting-yard, or two-stack approach. Explain why your choice fits the constraints (e.g., recursive descent is clean for precedence, shunting-yard handles right-associativity well).

3. Outline the algorithm

Describe tokenization, then evaluation. For recursive descent, define functions for each precedence level. For stack-based, detail how to handle operators and operands with precedence and associativity.

4. Walk through an example

Trace a sample expression like '2+3*4^2' to show how the algorithm respects precedence and associativity, and produces the correct result.

5. Discuss complexity and trade-offs

Analyze time and space complexity (O(n) time, O(n) space for stacks). Compare approaches in terms of code simplicity, extensibility, and handling of edge cases.

Key Points to Mention

  • Operator precedence: exponentiation > multiplication > addition
  • Associativity: exponentiation is right-associative, while addition and multiplication are left-associative
  • Tokenization: splitting the string into numbers and operators, handling multi-digit numbers
  • Stack-based evaluation (e.g., two stacks for operands and operators) or recursive descent parsing
  • Handling edge cases: spaces, negative numbers, invalid expressions, division by zero (if applicable)
  • Time and space complexity: O(n) time and O(n) space for typical stack-based solutions

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