Tesla

Tesla

Automotive and energy company pushing boundaries in autonomous driving and AI.

4 Rounds ~18 Days Hard
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The Interview Loop

Recruiter Screen (30 min)

Standard fit check, behavioral questions, and resume overview.

Technical Loop (3-4 Rounds)

Deep dive into domain knowledge, coding, and system design.

Interview Question Bank

Machine Learning Engineer Coding medium

Implement Non-Maximum Suppression (NMS) from scratch. Optimize it for execution on a GPU or a highly constrained edge device.

#Computer Vision #Python #C++ #Optimization
Machine Learning Engineer Coding hard

Write a function to compute the Intersection over Union (IoU) of two rotated 3D bounding boxes.

#3D Geometry #Linear Algebra #Spatial Math
Machine Learning Engineer Coding medium

Given a stream of 2D points representing object detections over time, write an algorithm to cluster them into distinct moving objects and assign consistent IDs.

#Clustering #Object Tracking #Streaming Data
Machine Learning Engineer Coding easy

Given two arrays of timestamps—one for camera frames and one for IMU readings—write an algorithm to find the closest matching IMU reading for each camera frame.

#Binary Search #Time Series #Arrays #Sensor Synchronization

Difficulty Radar

Based on recent AI-sourced data.

Meet Your Interviewers

The "Standard" Interviewer

Senior Engineer

Focuses on core competencies, system constraints, and clear communication.

Simulate

Unwritten Rules

Think Out Loud

Always explain your thought process before writing code or drawing architecture.

Practice Now