I was first asked to solve a problem using binary search—the interviewer emphasized both correctness and efficiency, so I had to carefully reason through edge cases and optimize my implementation. After that, I tackled a heap-related question that involved designing a data structure to support dynamic retrieval of the top‑k elements. The focus was on choosing the right heap type (min-heap vs. max-heap), maintaining time complexity, and explaining trade-offs clearly. Throughout, the interviewer encouraged me to think out loud and discuss my approach, which helped make it a collaborative and engaging experience.
Interview questions [1]
Question 1
Given an array nums, find a peak element and return its index.
You may assume that nums[i] ≠ nums[i + 1] for all valid i.
The array may contain multiple peaks—return the index of any one.
That moment when the interviewer asked about finding indices in an array for a target sum was wild — I had just tackled something identical while prepping on PracHub. The interview included a technical round with another question about designing an in-memory LRU cache and a behavioral question about meeting tight deadlines. After a smooth discussion, I was told I'd received an offer, which I happily accepted. Overall, the process felt pretty straightforward and not overly challenging.
Interview questions [3]
Question 1
Given an array of integers return the indices of two numbers summing to a target
Interviewed for silicon team. Have only been asked about the domain specific knowledge in 1st round and system design in 2nd round and C coding in 3rd round.
The interviews were 50 mins each.
First round with hr screening - 2 leetcode questions then hr manager screening then the loop which consists of 4 interviews each an hour long. The 4 interview questions they asked where three medium leetcode questions. And one system design interview question about how to shadow deploy a test software to millions of users.