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Tesla interviews are highly team-specific: Autopilot, Optimus, Dojo, data engineering, infotainment, and factory-software teams each run their own practical technical screens. The common pattern is a fast transition from resume/project discussion into runnable code, with interviewers pushing for optimality, clean implementation style, and concrete ownership of past technical decisions.

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Rank Vehicles for OTA Peer-to-Peer Seeding

Implement `rank_vehicles` for a Tesla OTA update network. Vehicles share unique 10MB chunks over WiFi; rank vehicles by historical direct and indirect contribution to peer-to-peer distribution so cellular seed downloads can be minimized.

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OJ Problems

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Shortest Bridge Decode Ways Flatten Nested List Iterator Guess the Word (Master API)Implement a Task Scheduler that Executes Tasks at Specified Times with Dynamic Inserts KV Store with Rollback (Versioned Key-Value Store)Daily Metrics by Order Status in a Single SQL Pass Find All Reports Under a Manager (n-level) and Return Hierarchy Path (SQL)Cumulative Monthly Sales by Store with Month Reset (SQL)Burning a Binary Tree (Time to Burn Entire Tree)Implement a Speed-Limit RL Reward for Batched Trajectories (10Hz)Batched Waypoint Suffix Sum Over 2D Trajectories Parallel Execution on Targets Implement Conv2D Forward Pass with Unit Test C++ Debugging: Doubly Linked List Find First Fit for Solar Panel in Grid Maximum Number of Workers with Equal Left and Right Shoes Encrypt Maximum Points in a Unit Circle Caesar Cipher Encryption URL Normalizer Maximize Number of Intervals with Shoes API to Calculate Final Car Position Count Connected Components in Undirected Graph Standard and Sparse Matrix Multiplication with Optimization

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