Tesla Coding Interview Questions
26 Tesla coding interview problems with full optimal solutions — 16 easy, 8 medium, 2 hard. Every problem ships with multiple approaches (brute-force first, then the optimal), complexity tables for each, company-specific tips on what an Tesla interviewer values, and a FAQ section.
- #15mediumfoundational
15. Number of Islands
Count connected land regions in a grid — Tesla uses BFS/DFS grid traversal to reason about how onboard cameras segment obstacle maps and identify distinct occupancy zones during Autopilot scene reconstruction.
- #16mediumfoundational
16. Network Delay Time
Find how long a signal takes to reach all nodes from a source — Tesla applies this shortest-path reasoning to model charging-network latency and route EV fleets to the fastest available Supercharger under real traffic conditions.
- #17mediumfoundational
17. Rotate Image
Rotate an n×n matrix 90 degrees in-place — Tesla's vision pipeline applies this exact transformation when fusing camera frames from different sensor orientations into a unified bird's-eye-view grid for Autopilot.
- #18easyfoundational
18. Climbing Stairs
Count distinct ways to climb n steps taking 1 or 2 at a time — Tesla uses this DP foundation to reason about battery-mode transition sequences where each energy state can shift by one or two regeneration levels.
- #19mediumfoundational
19. Longest Common Subsequence
Find the longest subsequence shared by two strings — Tesla applies this DP pattern when diffing firmware build manifests to identify unchanged module sequences across OTA update versions before deciding what to re-flash.
- #20mediumfoundational
20. Merge Intervals
Collapse overlapping time intervals into a minimal set — Tesla's manufacturing scheduling systems use exactly this algorithm to consolidate overlapping production windows on the Fremont assembly line without leaving idle gaps.
- #21hardfoundational
21. Word Ladder
Find the shortest transformation sequence between two words — Tesla maps this BFS shortest-path structure to vehicle-mode state graphs, where each valid one-step transition (Park to Reverse to Neutral to Drive) must be reachable without unsafe jumps.
- #22mediumfoundational
22. Course Schedule
Detect whether a set of prerequisite dependencies can be completed — Tesla applies cycle detection on directed graphs when validating ECU (Electronic Control Unit) boot-order dependencies so no firmware module tries to initialize before its required services are ready.
- #23mediumfoundational
23. Jump Game
Decide if you can reach the last index given variable jump sizes — Tesla maps this greedy reachability problem to range estimation for EVs, where each segment has a variable remaining-charge value and you must confirm the destination is reachable before committing a route.
- #24mediumfoundational
24. Subarray Sum Equals K
Count subarrays whose values sum to a target — Tesla uses prefix-sum anomaly detection on vehicle telemetry streams to count windows where cumulative sensor drift exceeds a threshold, triggering a recalibration event in the sensor fusion pipeline.
- #25hardfoundational
25. Trapping Rain Water
Calculate how much water a histogram traps after rain — Tesla's thermal management team uses a structurally identical algorithm to model coolant pooling in battery-pack channel geometries, identifying where fluid accumulates before designing drainage paths.
- #26easyfoundational
26. Binary Search
Locate a target in a sorted array in O(log n) — Tesla applies binary search in firmware to locate the calibration threshold entry for a given temperature bin within a sorted lookup table used by the battery management system.
- #1easyfoundational
1. Two Sum
Given an array of integers and a target, return the indices of two numbers that add up to the target.
- #2easyfoundational
2. Valid Parentheses
Determine if a string of brackets is valid using a stack.
- #3easyfoundational
3. Merge Two Sorted Lists
Merge two sorted linked lists into one sorted list.
- #4easyfoundational
4. Remove Duplicates from Sorted Array
In-place dedupe a sorted array and return the new length.
- #5easyfoundational
5. Remove Element
Remove all occurrences of a value from an array in-place.
- #6easyfoundational
6. Search Insert Position
Find a target's index in a sorted array, or where it would be inserted.
- #7easyfoundational
7. Plus One
Add one to a non-negative integer represented as a digit array.
- #8easyfoundational
8. Merge Sorted Array
Merge two sorted arrays in-place, where the first has extra trailing space.
- #9easyfoundational
9. Binary Tree Inorder Traversal
Return the inorder traversal of a binary tree's node values.
- #10easyfoundational
10. Same Tree
Check whether two binary trees are structurally identical with equal node values.
- #11easyfoundational
11. Symmetric Tree
Determine whether a binary tree is a mirror of itself.
- #12easyfoundational
12. Maximum Depth of Binary Tree
Return the maximum depth (height) of a binary tree.
- #13easyfoundational
13. Balanced Binary Tree
Determine if a binary tree is height-balanced.
- #14easyfoundational
14. Minimum Depth of Binary Tree
Find the minimum number of nodes on a path from root to leaf.