PracHub
QuestionsLearningGuidesInterview Prep

Quick Overview

This question evaluates distributed systems and parallel algorithm skills, specifically distributed matrix multiplication, data partitioning (row- and column-wise sharding), inter-device communication and synchronization, and practical NumPy/thread-based implementation competency.

  • hard
  • xAI
  • Coding & Algorithms
  • Machine Learning Engineer

Implement Distributed Matrix Multiplication

Company: xAI

Role: Machine Learning Engineer

Category: Coding & Algorithms

Difficulty: hard

Interview Round: Technical Screen

Quick Answer: This question evaluates distributed systems and parallel algorithm skills, specifically distributed matrix multiplication, data partitioning (row- and column-wise sharding), inter-device communication and synchronization, and practical NumPy/thread-based implementation competency.

Last updated: Apr 22, 2026
Loading…
PracHub

Master your tech interviews with 9,000+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • AI Coding Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.

Related Coding Questions

  • Flatten and unflatten nested Python structures - xAI (medium)
  • Compute dasher pay from order events - xAI (medium)
  • Compute total active time per Twitter Space - xAI (medium)
  • Design a Recoverable Iterator - xAI (medium)