Rivian coding interview
questions, leaked.
9 problems reported across recent Rivian interviews. Top patterns: array, hash table, linked list. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Rivian's OA hits you with nine problems across arrays, hash tables, and linked lists. Two are easy, six medium, one hard. The spread is wide but patterns repeat: array manipulation dominates, design questions like LRU Cache test your ability to chain data structures, and matrix problems pair with search. You've got a week to drill the frequent patterns. If you blank on a hash-table or linked-list hybrid during the live assessment, StealthCoder solves it invisible to the proctor and you keep moving.
Top problems at Rivian
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | LRU Cache | MEDIUM | 100.0 | 45% | Hash Table · Linked List · Design |
| 02 | Number of Islands | MEDIUM | 100.0 | 62% | Array · Depth-First Search · Breadth-First Search |
| 03 | Degree of an Array | EASY | 88.3 | 57% | Array · Hash Table |
| 04 | Merge k Sorted Lists | HARD | 88.3 | 57% | Linked List · Divide and Conquer · Heap (Priority Queue) |
| 05 | Merge Intervals | MEDIUM | 88.3 | 49% | Array · Sorting |
| 06 | Flatten Deeply Nested Array | MEDIUM | 88.3 | 64% | |
| 07 | String Compression | MEDIUM | 88.3 | 58% | Two Pointers · String |
| 08 | Rotate String | EASY | 88.3 | 64% | String · String Matching |
| 09 | Max Increase to Keep City Skyline | MEDIUM | 88.3 | 86% | Array · Greedy · Matrix |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Rivian OA. The proctor cannot see it. Screen share cannot detect it. Built by an engineer at a top-10 tech company who can solve these problems cold but didn't want to trust himself in a 90-minute screen share.
Get StealthCoder- array4 · 44%
- hash table2 · 22%
- linked list2 · 22%
- matrix2 · 22%
- string2 · 22%
- design1 · 11%
- doubly linked list1 · 11%
- divide and conquer1 · 11%
- heap priority queue1 · 11%
- merge sort1 · 11%
Array problems account for four questions, so that's your first focus. Hash tables and linked lists each appear twice and often together (LRU Cache is the clearest example). Once you've locked those down, matrix and string problems are secondary but real. The hard problem, Merge k Sorted Lists, combines linked lists, heaps, and divide-and-conquer, so it's worth a solo study session if you have time. Most of the OA is medium difficulty, which means the bar is clean implementation and no silly bugs. If you hit a wall on a design or greedy problem mid-OA, StealthCoder is your hedge, surfacing a working approach in seconds while the proctor sees nothing.
Companies with similar patterns
If you prepped for Rivian, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Rivian.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Built by an engineer at a top-10 tech company who can solve these problems cold but didn't want to trust himself in a 90-minute screen share. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Rivian interview FAQ
How many array problems should I drill before the Rivian OA?+
All of them. Arrays show up in four of the nine problems reported. Start with Degree of an Array and Merge Intervals, then move to Max Increase to Keep City Skyline. You'll see rotation, interval merging, and greedy logic all require solid array chops.
Is LRU Cache hard for Rivian?+
It's medium but tricky because it chains hash tables, doubly-linked lists, and design thinking. Expect to spend a full session on it. Once you nail LRU, the linked-list and hash-table problems feel simpler.
Should I study the hard problem or focus on mediums?+
Focus on mediums first. You've got six of them, and clean execution on those will carry you. Merge k Sorted Lists is a hard that combines heaps, divide-and-conquer, and merge-sort logic. Drill it if you finish the mediums early or have a heap/sorting gap.
What should I study first for Rivian?+
Arrays and hash tables. Four array problems and two hash-table problems (including LRU Cache) represent half the OA. Nail Degree of an Array and Merge Intervals, then hit LRU Cache hard before moving to linked-list and matrix patterns.
Will I see string problems on Rivian's OA?+
Yes, two are reported: String Compression and Rotate String. Both are easy to medium and test two-pointer and pattern-matching logic. They're quick wins if you've drilled arrays and hashes already.