Start by clarifying the problem and constraints, then walk through a brute-force solution before optimizing with appropriate data structures or algorithms. Communicate your thought process continuously, and test your solution with edge cases.
Pro tip: Anduril values engineers who can write clean, efficient code under pressure, so practice explaining your reasoning while coding and always consider real-world constraints like memory and latency.
Ask questions to understand input/output, constraints, and edge cases. Confirm assumptions with the interviewer.
Propose a brute-force solution first, then analyze time and space complexity to identify optimizations.
Select the optimal approach, explain your choice, and write clean, modular code with meaningful variable names.
Walk through your code with sample inputs, including edge cases, and fix any bugs.
State the final time and space complexity, and discuss potential improvements or trade-offs.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.